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36 | data | https://github.com/joke2k/faker | [] | null | [] | [] | null | null | null | joke2k/faker | faker | 16,741 | 1,851 | 220 | Python | https://faker.readthedocs.io | Faker is a Python package that generates fake data for you. | joke2k | 2024-01-14 | 2012-11-12 | 585 | 28.610107 | null | Faker is a Python package that generates fake data for you. | ['dataset', 'fake', 'fake-data', 'faker', 'faker-generator', 'test-data', 'test-data-generator', 'testing'] | ['dataset', 'fake', 'fake-data', 'faker', 'faker-generator', 'test-data', 'test-data-generator', 'testing'] | 2024-01-10 | [('snyk/faker-security', 0.7436192631721497, 'security', 0), ('lk-geimfari/mimesis', 0.6268561482429504, 'data', 3)] | 555 | 7 | null | 5.96 | 67 | 48 | 136 | 0 | 70 | 30 | 70 | 67 | 109 | 90 | 1.6 | 65 |
125 | ml | https://github.com/onnx/onnx | [] | null | [] | [] | null | null | null | onnx/onnx | onnx | 16,209 | 3,620 | 438 | Python | https://onnx.ai/ | Open standard for machine learning interoperability | onnx | 2024-01-14 | 2017-09-07 | 333 | 48.57149 | https://avatars.githubusercontent.com/u/31675368?v=4 | Open standard for machine learning interoperability | ['deep-learning', 'deep-neural-networks', 'dnn', 'keras', 'machine-learning', 'ml', 'mxnet', 'neural-network', 'onnx', 'pytorch', 'scikit-learn', 'tensorflow'] | ['deep-learning', 'deep-neural-networks', 'dnn', 'keras', 'machine-learning', 'ml', 'mxnet', 'neural-network', 'onnx', 'pytorch', 'scikit-learn', 'tensorflow'] | 2024-01-12 | [('microsoft/onnxruntime', 0.727009654045105, 'ml', 6), ('tensorflow/tensorflow', 0.7098345756530762, 'ml-dl', 6), ('polyaxon/polyaxon', 0.6912744641304016, 'ml-ops', 7), ('explosion/thinc', 0.6653851866722107, 'ml-dl', 5), ('mlflow/mlflow', 0.6629000902175903, 'ml-ops', 2), ('keras-team/keras', 0.6622923612594604, 'ml... | 305 | 2 | null | 9.48 | 272 | 168 | 77 | 0 | 4 | 4 | 4 | 272 | 391 | 90 | 1.4 | 65 |
153 | nlp | https://github.com/flairnlp/flair | [] | null | [] | [] | null | null | null | flairnlp/flair | flair | 13,342 | 2,054 | 204 | Python | https://flairnlp.github.io/flair/ | A very simple framework for state-of-the-art Natural Language Processing (NLP) | flairnlp | 2024-01-13 | 2018-06-11 | 294 | 45.358912 | https://avatars.githubusercontent.com/u/59021421?v=4 | A very simple framework for state-of-the-art Natural Language Processing (NLP) | ['machine-learning', 'named-entity-recognition', 'natural-language-processing', 'nlp', 'pytorch', 'semantic-role-labeling', 'sequence-labeling', 'word-embeddings'] | ['machine-learning', 'named-entity-recognition', 'natural-language-processing', 'nlp', 'pytorch', 'semantic-role-labeling', 'sequence-labeling', 'word-embeddings'] | 2023-12-18 | [('franck-dernoncourt/neuroner', 0.7272414565086365, 'nlp', 3), ('allenai/allennlp', 0.6880818605422974, 'nlp', 3), ('nltk/nltk', 0.6725092530250549, 'nlp', 3), ('explosion/spacy', 0.6546562910079956, 'nlp', 4), ('explosion/spacy-models', 0.6428545117378235, 'nlp', 3), ('sloria/textblob', 0.6279769539833069, 'nlp', 2),... | 251 | 5 | null | 11.87 | 85 | 62 | 68 | 1 | 5 | 5 | 5 | 85 | 119 | 90 | 1.4 | 65 |
143 | nlp | https://github.com/ukplab/sentence-transformers | ['sentence-embeddings', 'semantic-search', 'information-retrieval'] | null | [] | [] | null | null | null | ukplab/sentence-transformers | sentence-transformers | 12,848 | 2,226 | 130 | Python | https://www.SBERT.net | Multilingual Sentence & Image Embeddings with BERT | ukplab | 2024-01-14 | 2019-07-24 | 235 | 54.473652 | https://avatars.githubusercontent.com/u/9532046?v=4 | Multilingual Sentence & Image Embeddings with BERT | [] | ['information-retrieval', 'semantic-search', 'sentence-embeddings'] | 2024-01-10 | [('jina-ai/clip-as-service', 0.7321420311927795, 'nlp', 0), ('jina-ai/finetuner', 0.5992518663406372, 'ml', 0), ('amansrivastava17/embedding-as-service', 0.5738234519958496, 'nlp', 0), ('ddangelov/top2vec', 0.5732832551002502, 'nlp', 1), ('alibaba/easynlp', 0.551360011100769, 'nlp', 0), ('muennighoff/sgpt', 0.544634640... | 131 | 4 | null | 1.44 | 196 | 125 | 54 | 0 | 0 | 7 | 7 | 196 | 300 | 90 | 1.5 | 65 |
798 | web | https://github.com/encode/httpx | [] | null | [] | [] | null | null | null | encode/httpx | httpx | 11,723 | 816 | 113 | Python | https://www.python-httpx.org/ | A next generation HTTP client for Python. 🦋 | encode | 2024-01-14 | 2019-04-04 | 251 | 46.572645 | https://avatars.githubusercontent.com/u/19159390?v=4 | A next generation HTTP client for Python. 🦋 | ['asyncio', 'http', 'trio'] | ['asyncio', 'http', 'trio'] | 2024-01-12 | [('encode/uvicorn', 0.8501601815223694, 'web', 2), ('aio-libs/aiohttp', 0.8457793593406677, 'web', 2), ('pallets/quart', 0.748035192489624, 'web', 1), ('neoteroi/blacksheep', 0.7281930446624756, 'web', 2), ('psf/requests', 0.7030969858169556, 'web', 1), ('alirn76/panther', 0.6786492466926575, 'web', 0), ('requests/tool... | 212 | 5 | null | 2.94 | 113 | 90 | 58 | 0 | 6 | 17 | 6 | 113 | 208 | 90 | 1.8 | 65 |
11 | perf | https://github.com/dask/dask | [] | null | [] | [] | null | null | null | dask/dask | dask | 11,689 | 1,665 | 213 | Python | https://dask.org | Parallel computing with task scheduling | dask | 2024-01-14 | 2015-01-04 | 473 | 24.697555 | https://avatars.githubusercontent.com/u/17131925?v=4 | Parallel computing with task scheduling | ['dask', 'numpy', 'pandas', 'pydata', 'scikit-learn', 'scipy'] | ['dask', 'numpy', 'pandas', 'pydata', 'scikit-learn', 'scipy'] | 2024-01-12 | [('nalepae/pandarallel', 0.7318655252456665, 'pandas', 1), ('dask/distributed', 0.719694972038269, 'perf', 2), ('agronholm/apscheduler', 0.6700900197029114, 'util', 0), ('ipython/ipyparallel', 0.64837247133255, 'perf', 0), ('joblib/joblib', 0.6337271332740784, 'util', 0), ('scipy/scipy', 0.6020888686180115, 'math', 1),... | 592 | 6 | null | 9.31 | 292 | 175 | 110 | 0 | 0 | 31 | 31 | 292 | 454 | 90 | 1.6 | 65 |
38 | jupyter | https://github.com/jupyter/notebook | [] | null | [] | [] | null | null | null | jupyter/notebook | notebook | 10,849 | 4,462 | 321 | Jupyter Notebook | https://jupyter-notebook.readthedocs.io/ | Jupyter Interactive Notebook | jupyter | 2024-01-13 | 2015-04-09 | 459 | 23.599441 | https://avatars.githubusercontent.com/u/7388996?v=4 | Jupyter Interactive Notebook | ['jupyter', 'jupyter-notebook', 'notebook'] | ['jupyter', 'jupyter-notebook', 'notebook'] | 2024-01-02 | [('jupyter-widgets/ipywidgets', 0.8538753390312195, 'jupyter', 0), ('jupyter/nbformat', 0.7493022680282593, 'jupyter', 0), ('jupyterlab/jupyterlab-desktop', 0.7161470651626587, 'jupyter', 2), ('jupyter/nbconvert', 0.7077092528343201, 'jupyter', 0), ('voila-dashboards/voila', 0.6948908567428589, 'jupyter', 2), ('ipython... | 645 | 8 | null | 4.96 | 244 | 177 | 107 | 0 | 31 | 75 | 31 | 244 | 362 | 90 | 1.5 | 65 |
1,304 | study | https://github.com/eugeneyan/open-llms | ['awesome'] | null | [] | [] | null | null | null | eugeneyan/open-llms | open-llms | 9,154 | 538 | 204 | null | null | 📋 A list of open LLMs available for commercial use. | eugeneyan | 2024-01-14 | 2023-05-05 | 38 | 237.325926 | null | 📋 A list of open LLMs available for commercial use. | ['commercial', 'large-language-models', 'llm', 'llms'] | ['awesome', 'commercial', 'large-language-models', 'llm', 'llms'] | 2024-01-10 | [('bentoml/openllm', 0.7019832134246826, 'ml-ops', 1), ('salesforce/xgen', 0.6812090873718262, 'llm', 2), ('mooler0410/llmspracticalguide', 0.6558331847190857, 'study', 2), ('agenta-ai/agenta', 0.6486678719520569, 'llm', 3), ('microsoft/torchscale', 0.633047878742218, 'llm', 0), ('young-geng/easylm', 0.6238888502120972... | 25 | 5 | null | 1.56 | 8 | 6 | 8 | 0 | 0 | 0 | 0 | 8 | 9 | 90 | 1.1 | 65 |
543 | ml | https://github.com/optuna/optuna | [] | null | [] | [] | null | null | null | optuna/optuna | optuna | 9,124 | 917 | 121 | Python | https://optuna.org | A hyperparameter optimization framework | optuna | 2024-01-13 | 2018-02-21 | 309 | 29.445828 | https://avatars.githubusercontent.com/u/57251745?v=4 | A hyperparameter optimization framework | ['distributed', 'hyperparameter-optimization', 'machine-learning', 'parallel'] | ['distributed', 'hyperparameter-optimization', 'machine-learning', 'parallel'] | 2024-01-10 | [('hyperopt/hyperopt', 0.7380708456039429, 'ml', 0), ('paddlepaddle/paddle', 0.6472195386886597, 'ml-dl', 1), ('kubeflow/katib', 0.6405646800994873, 'ml', 0), ('determined-ai/determined', 0.6228476166725159, 'ml-ops', 2), ('microsoft/deepspeed', 0.5794839262962341, 'ml-dl', 1), ('automl/auto-sklearn', 0.550804793834686... | 255 | 3 | null | 38.81 | 208 | 166 | 72 | 0 | 7 | 10 | 7 | 208 | 407 | 90 | 2 | 65 |
1,110 | nlp | https://github.com/openai/tiktoken | ['chatgpt', 'word-segmentation', 'tokeniser'] | null | [] | [] | 1 | null | null | openai/tiktoken | tiktoken | 8,112 | 563 | 143 | Python | null | tiktoken is a fast BPE tokeniser for use with OpenAI's models. | openai | 2024-01-14 | 2022-12-01 | 60 | 133.609412 | https://avatars.githubusercontent.com/u/14957082?v=4 | tiktoken is a fast BPE tokeniser for use with OpenAI's models. | [] | ['chatgpt', 'tokeniser', 'word-segmentation'] | 2023-12-03 | [('run-llama/rags', 0.5739045143127441, 'llm', 1), ('openai/openai-cookbook', 0.5737849473953247, 'ml', 1), ('blinkdl/chatrwkv', 0.5641686320304871, 'llm', 1), ('xtekky/gpt4free', 0.5542630553245544, 'llm', 1), ('alphasecio/langchain-examples', 0.5489485263824463, 'llm', 0), ('zhudotexe/kani', 0.528551459312439, 'llm',... | 11 | 4 | null | 0.48 | 55 | 35 | 14 | 1 | 7 | 8 | 7 | 55 | 92 | 90 | 1.7 | 65 |
214 | nlp | https://github.com/speechbrain/speechbrain | [] | null | [] | [] | null | null | null | speechbrain/speechbrain | speechbrain | 7,089 | 1,212 | 123 | Python | http://speechbrain.github.io | A PyTorch-based Speech Toolkit | speechbrain | 2024-01-14 | 2020-04-28 | 196 | 36.168367 | https://avatars.githubusercontent.com/u/54749030?v=4 | A PyTorch-based Speech Toolkit | ['asr', 'audio', 'audio-processing', 'deep-learning', 'huggingface', 'language-model', 'pytorch', 'speaker-diarization', 'speaker-recognition', 'speaker-verification', 'speech-enhancement', 'speech-processing', 'speech-recognition', 'speech-separation', 'speech-to-text', 'speech-toolkit', 'speechrecognition', 'spoken-l... | ['asr', 'audio', 'audio-processing', 'deep-learning', 'huggingface', 'language-model', 'pytorch', 'speaker-diarization', 'speaker-recognition', 'speaker-verification', 'speech-enhancement', 'speech-processing', 'speech-recognition', 'speech-separation', 'speech-to-text', 'speech-toolkit', 'speechrecognition', 'spoken-l... | 2024-01-07 | [('espnet/espnet', 0.822684109210968, 'nlp', 7), ('uberi/speech_recognition', 0.6739375591278076, 'ml', 3), ('huggingface/transformers', 0.6348034739494324, 'nlp', 4), ('nvidia/nemo', 0.6236434578895569, 'nlp', 7), ('allenai/allennlp', 0.5886344313621521, 'nlp', 2), ('spotify/pedalboard', 0.5878923535346985, 'util', 2)... | 225 | 5 | null | 27.48 | 144 | 96 | 45 | 0 | 3 | 3 | 3 | 144 | 335 | 90 | 2.3 | 65 |
1,476 | ml | https://github.com/facebookresearch/xformers | ['transformers'] | null | [] | [] | null | null | null | facebookresearch/xformers | xformers | 6,815 | 466 | 70 | Python | https://facebookresearch.github.io/xformers/ | Hackable and optimized Transformers building blocks, supporting a composable construction. | facebookresearch | 2024-01-14 | 2021-10-13 | 119 | 56.859356 | https://avatars.githubusercontent.com/u/16943930?v=4 | Hackable and optimized Transformers building blocks, supporting a composable construction. | [] | ['transformers'] | 2024-01-05 | [('abertsch72/unlimiformer', 0.5475772023200989, 'nlp', 1)] | 71 | 3 | null | 5.54 | 92 | 29 | 27 | 0 | 13 | 15 | 13 | 92 | 239 | 90 | 2.6 | 65 |
858 | ml-ops | https://github.com/mage-ai/mage-ai | [] | null | [] | [] | 1 | null | null | mage-ai/mage-ai | mage-ai | 6,239 | 579 | 55 | Python | https://www.mage.ai/ | 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data. | mage-ai | 2024-01-14 | 2022-05-16 | 89 | 69.988782 | https://avatars.githubusercontent.com/u/69371472?v=4 | 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data. | ['artificial-intelligence', 'data', 'data-engineering', 'data-integration', 'data-pipelines', 'data-science', 'dbt', 'elt', 'etl', 'machine-learning', 'orchestration', 'pipeline', 'pipelines', 'reverse-etl', 'spark', 'sql', 'transformation'] | ['artificial-intelligence', 'data', 'data-engineering', 'data-integration', 'data-pipelines', 'data-science', 'dbt', 'elt', 'etl', 'machine-learning', 'orchestration', 'pipeline', 'pipelines', 'reverse-etl', 'spark', 'sql', 'transformation'] | 2024-01-14 | [('airbytehq/airbyte', 0.7392861247062683, 'data', 6), ('orchest/orchest', 0.7309496402740479, 'ml-ops', 5), ('ploomber/ploomber', 0.7089954614639282, 'ml-ops', 4), ('kestra-io/kestra', 0.6831650137901306, 'ml-ops', 8), ('dagster-io/dagster', 0.6750965714454651, 'ml-ops', 6), ('flyteorg/flyte', 0.6692841053009033, 'ml-... | 82 | 1 | null | 48.85 | 641 | 541 | 20 | 0 | 43 | 27 | 43 | 640 | 372 | 90 | 0.6 | 65 |
1,562 | llm | https://github.com/jzhang38/tinyllama | ['llama', 'language-model'] | null | [] | [] | null | null | null | jzhang38/tinyllama | TinyLlama | 5,287 | 264 | 110 | Python | null | The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens. | jzhang38 | 2024-01-14 | 2023-09-02 | 21 | 246.726667 | null | The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens. | [] | ['language-model', 'llama'] | 2024-01-10 | [('microsoft/llama-2-onnx', 0.7340604066848755, 'llm', 2), ('facebookresearch/llama-recipes', 0.6900231242179871, 'llm', 2), ('lightning-ai/lit-llama', 0.6785302758216858, 'llm', 2), ('tloen/alpaca-lora', 0.6666224598884583, 'llm', 2), ('zrrskywalker/llama-adapter', 0.6362742185592651, 'llm', 2), ('run-llama/llama-lab'... | 8 | 2 | null | 2.19 | 93 | 80 | 4 | 0 | 0 | 0 | 0 | 93 | 143 | 90 | 1.5 | 65 |
821 | ml-rl | https://github.com/farama-foundation/gymnasium | [] | null | [] | [] | null | null | null | farama-foundation/gymnasium | Gymnasium | 4,727 | 568 | 36 | Python | https://gymnasium.farama.org | An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym) | farama-foundation | 2024-01-14 | 2022-09-08 | 72 | 65.007859 | https://avatars.githubusercontent.com/u/62961550?v=4 | An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym) | ['api', 'gym', 'reinforcement-learning'] | ['api', 'gym', 'reinforcement-learning'] | 2024-01-13 | [('pettingzoo-team/pettingzoo', 0.947864830493927, 'ml-rl', 3), ('nvidia-omniverse/isaacgymenvs', 0.6873985528945923, 'sim', 1), ('unity-technologies/ml-agents', 0.6212126612663269, 'ml-rl', 1), ('pytorch/rl', 0.6115036010742188, 'ml-rl', 1), ('nvidia-omniverse/omniisaacgymenvs', 0.6047082543373108, 'sim', 0), ('google... | 459 | 2 | null | 4.96 | 171 | 134 | 16 | 0 | 5 | 8 | 5 | 171 | 315 | 90 | 1.8 | 65 |
1,854 | gui | https://github.com/samuelcolvin/fastui | [] | FastUI is a new way to build web application user interfaces defined by declarative Python code. | [] | [] | null | null | null | samuelcolvin/fastui | FastUI | 3,211 | 273 | 28 | TypeScript | https://fastui-demo.onrender.com | Build better UIs faster. | samuelcolvin | 2024-01-14 | 2023-09-18 | 19 | 167.738806 | https://avatars.githubusercontent.com/u/110818415?v=4 | Build better UIs faster. | ['fastapi', 'pydantic', 'react'] | ['fastapi', 'pydantic', 'react'] | 2023-12-29 | [('fastai/fastcore', 0.546245813369751, 'util', 0), ('dmontagu/fastapi_client', 0.5091067552566528, 'web', 0)] | 18 | 3 | null | 1.96 | 151 | 95 | 4 | 1 | 2 | 6 | 2 | 151 | 281 | 90 | 1.9 | 65 |
26 | term | https://github.com/google/python-fire | [] | null | [] | [] | null | null | null | google/python-fire | python-fire | 25,802 | 1,487 | 375 | Python | null | Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object. | google | 2024-01-14 | 2017-02-21 | 362 | 71.276243 | https://avatars.githubusercontent.com/u/1342004?v=4 | Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object. | ['cli'] | ['cli'] | 2024-01-09 | [('python-poetry/cleo', 0.6746692657470703, 'term', 1), ('kellyjonbrazil/jc', 0.6432965397834778, 'util', 1), ('pyscript/pyscript-cli', 0.6401512026786804, 'web', 0), ('urwid/urwid', 0.6262136101722717, 'term', 0), ('pallets/click', 0.6196329593658447, 'term', 1), ('tiangolo/typer', 0.6071035265922546, 'term', 1), ('jq... | 63 | 4 | null | 0.25 | 34 | 13 | 84 | 0 | 0 | 2 | 2 | 34 | 74 | 90 | 2.2 | 64 |
1,056 | study | https://github.com/d2l-ai/d2l-en | [] | null | [] | [] | null | null | null | d2l-ai/d2l-en | d2l-en | 20,540 | 4,016 | 394 | Python | https://D2L.ai | Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. | d2l-ai | 2024-01-14 | 2018-10-09 | 277 | 74.151625 | https://avatars.githubusercontent.com/u/43974506?v=4 | Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. | ['book', 'computer-vision', 'data-science', 'deep-learning', 'gaussian-processes', 'hyperparameter-optimization', 'jax', 'kaggle', 'keras', 'machine-learning', 'mxnet', 'natural-language-processing', 'notebook', 'pytorch', 'recommender-system', 'reinforcement-learning', 'tensorflow'] | ['book', 'computer-vision', 'data-science', 'deep-learning', 'gaussian-processes', 'hyperparameter-optimization', 'jax', 'kaggle', 'keras', 'machine-learning', 'mxnet', 'natural-language-processing', 'notebook', 'pytorch', 'recommender-system', 'reinforcement-learning', 'tensorflow'] | 2023-12-11 | [('tensorlayer/tensorlayer', 0.6486682891845703, 'ml-rl', 3), ('keras-team/keras', 0.6172467470169067, 'ml-dl', 6), ('mrdbourke/pytorch-deep-learning', 0.6161856055259705, 'study', 3), ('tensorflow/tensor2tensor', 0.5922254920005798, 'ml', 3), ('nvidia/deeplearningexamples', 0.5897380709648132, 'ml-dl', 5), ('google/tr... | 319 | 7 | null | 4.15 | 36 | 7 | 64 | 1 | 1 | 6 | 1 | 36 | 27 | 90 | 0.8 | 64 |
468 | nlp | https://github.com/microsoft/unilm | [] | null | [] | [] | null | null | null | microsoft/unilm | unilm | 16,868 | 2,249 | 278 | Python | https://aka.ms/GeneralAI | Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities | microsoft | 2024-01-14 | 2019-07-23 | 236 | 71.474576 | https://avatars.githubusercontent.com/u/6154722?v=4 | Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities | ['beit', 'beit-3', 'deepnet', 'document-ai', 'foundation-models', 'kosmos', 'kosmos-1', 'layoutlm', 'layoutxlm', 'llm', 'minilm', 'mllm', 'multimodal', 'nlp', 'pre-trained-model', 'textdiffuser', 'trocr', 'unilm', 'xlm-e'] | ['beit', 'beit-3', 'deepnet', 'document-ai', 'foundation-models', 'kosmos', 'kosmos-1', 'layoutlm', 'layoutxlm', 'llm', 'minilm', 'mllm', 'multimodal', 'nlp', 'pre-trained-model', 'textdiffuser', 'trocr', 'unilm', 'xlm-e'] | 2024-01-11 | [('qanastek/drbert', 0.5781573057174683, 'llm', 1), ('yueyu1030/attrprompt', 0.5726070404052734, 'llm', 0), ('google-research/electra', 0.5669850707054138, 'ml-dl', 1), ('ofa-sys/ofa', 0.5649746060371399, 'llm', 1), ('openai/finetune-transformer-lm', 0.5644842982292175, 'llm', 0), ('openai/clip', 0.5614645481109619, 'm... | 64 | 4 | null | 3.52 | 133 | 43 | 55 | 0 | 0 | 1 | 1 | 133 | 192 | 90 | 1.4 | 64 |
1,690 | util | https://github.com/rustpython/rustpython | ['rust'] | null | [] | [] | null | null | null | rustpython/rustpython | RustPython | 16,107 | 1,153 | 161 | Rust | https://rustpython.github.io | A Python Interpreter written in Rust | rustpython | 2024-01-14 | 2018-05-28 | 296 | 54.389291 | https://avatars.githubusercontent.com/u/39710557?v=4 | A Python Interpreter written in Rust | ['compiler', 'interpreter', 'jit', 'language', 'python-language', 'rust', 'wasm'] | ['compiler', 'interpreter', 'jit', 'language', 'python-language', 'rust', 'wasm'] | 2024-01-12 | [('pyo3/pyo3', 0.6475306749343872, 'util', 1), ('numba/llvmlite', 0.638462483882904, 'util', 0), ('aswinnnn/pyscan', 0.6372954249382019, 'security', 1), ('pyo3/maturin', 0.6316028237342834, 'util', 1), ('astral-sh/ruff', 0.6286622881889343, 'util', 1), ('python/cpython', 0.5933462977409363, 'util', 0), ('pyo3/rust-nump... | 404 | 2 | null | 20.56 | 69 | 44 | 69 | 0 | 0 | 1 | 1 | 68 | 100 | 90 | 1.5 | 64 |
808 | ml-dl | https://github.com/danielgatis/rembg | [] | null | [] | [] | null | null | null | danielgatis/rembg | rembg | 12,793 | 1,537 | 136 | Python | null | Rembg is a tool to remove images background | danielgatis | 2024-01-14 | 2020-08-10 | 181 | 70.623817 | null | Rembg is a tool to remove images background | ['background-removal', 'image-processing'] | ['background-removal', 'image-processing'] | 2023-12-16 | [] | 48 | 5 | null | 1.81 | 55 | 44 | 42 | 1 | 22 | 16 | 22 | 55 | 73 | 90 | 1.3 | 64 |
237 | data | https://github.com/tiangolo/sqlmodel | [] | null | [] | [] | 1 | null | null | tiangolo/sqlmodel | sqlmodel | 11,999 | 554 | 151 | Python | https://sqlmodel.tiangolo.com/ | SQL databases in Python, designed for simplicity, compatibility, and robustness. | tiangolo | 2024-01-14 | 2021-08-24 | 127 | 94.480315 | null | SQL databases in Python, designed for simplicity, compatibility, and robustness. | ['fastapi', 'json', 'json-schema', 'pydantic', 'sql', 'sqlalchemy'] | ['fastapi', 'json', 'json-schema', 'pydantic', 'sql', 'sqlalchemy'] | 2024-01-09 | [('ibis-project/ibis', 0.8095237612724304, 'data', 2), ('sqlalchemy/sqlalchemy', 0.8052466511726379, 'data', 2), ('mcfunley/pugsql', 0.6844363808631897, 'data', 1), ('andialbrecht/sqlparse', 0.6739121079444885, 'data', 0), ('tobymao/sqlglot', 0.6654618382453918, 'data', 1), ('collerek/ormar', 0.6308665871620178, 'data'... | 71 | 1 | null | 1.44 | 170 | 105 | 29 | 0 | 5 | 5 | 5 | 170 | 264 | 90 | 1.6 | 64 |
88 | math | https://github.com/sympy/sympy | [] | null | [] | [] | 1 | null | null | sympy/sympy | sympy | 11,751 | 4,180 | 291 | Python | https://sympy.org/ | A computer algebra system written in pure Python | sympy | 2024-01-14 | 2010-04-30 | 717 | 16.37607 | https://avatars.githubusercontent.com/u/260832?v=4 | A computer algebra system written in pure Python | ['computer-algebra', 'math', 'science'] | ['computer-algebra', 'math', 'science'] | 2024-01-14 | [('pyston/pyston', 0.6676157712936401, 'util', 0), ('python/cpython', 0.6439580321311951, 'util', 0), ('scipy/scipy', 0.6143859028816223, 'math', 0), ('fredrik-johansson/mpmath', 0.6130483150482178, 'math', 0), ('artemyk/dynpy', 0.6068984270095825, 'sim', 0), ('pyomo/pyomo', 0.5923652052879333, 'math', 0), ('pytoolz/to... | 1,267 | 3 | null | 71.48 | 446 | 259 | 167 | 0 | 2 | 6 | 2 | 449 | 1,316 | 90 | 2.9 | 64 |
1,523 | llm | https://github.com/smol-ai/developer | ['ai', 'coding-assistant', 'autonomous-agent'] | null | [] | [] | 1 | null | null | smol-ai/developer | developer | 11,435 | 1,120 | 154 | Python | https://twitter.com/SmolModels | the first library to let you embed a developer agent in your own app! | smol-ai | 2024-01-12 | 2023-05-13 | 37 | 305.515267 | https://avatars.githubusercontent.com/u/132172705?v=4 | the first library to let you embed a developer agent in your own app! | [] | ['ai', 'autonomous-agent', 'coding-assistant'] | 2023-09-25 | [('antonosika/gpt-engineer', 0.6368786096572876, 'llm', 3), ('prefecthq/marvin', 0.6331506967544556, 'nlp', 1), ('sweepai/sweep', 0.5850329995155334, 'llm', 1), ('transformeroptimus/superagi', 0.5681149363517761, 'llm', 1), ('pythagora-io/gpt-pilot', 0.5505355000495911, 'llm', 2), ('lastmile-ai/aiconfig', 0.55019408464... | 21 | 9 | null | 1.79 | 7 | 1 | 8 | 4 | 0 | 0 | 0 | 7 | 3 | 90 | 0.4 | 64 |
751 | diffusion | https://github.com/divamgupta/diffusionbee-stable-diffusion-ui | [] | null | [] | [] | null | null | null | divamgupta/diffusionbee-stable-diffusion-ui | diffusionbee-stable-diffusion-ui | 11,411 | 558 | 92 | JavaScript | https://diffusionbee.com | Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. | divamgupta | 2024-01-14 | 2022-09-06 | 73 | 156.315068 | null | Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. | ['electron-app', 'macos', 'stable-diffusion'] | ['electron-app', 'macos', 'stable-diffusion'] | 2023-12-28 | [('apple/ml-stable-diffusion', 0.5508177876472473, 'diffusion', 0), ('comfyanonymous/comfyui', 0.5425298810005188, 'diffusion', 1), ('carson-katri/dream-textures', 0.534104585647583, 'diffusion', 1), ('bentoml/onediffusion', 0.5153639316558838, 'diffusion', 1)] | 18 | 3 | null | 0.54 | 36 | 5 | 16 | 1 | 6 | 16 | 6 | 36 | 51 | 90 | 1.4 | 64 |
73 | util | https://github.com/python-pillow/pillow | [] | null | [] | [] | null | null | null | python-pillow/pillow | Pillow | 11,402 | 2,157 | 223 | Python | https://python-pillow.org | Python Imaging Library (Fork) | python-pillow | 2024-01-13 | 2012-07-24 | 601 | 18.971714 | https://avatars.githubusercontent.com/u/2036701?v=4 | Python Imaging Library (Fork) | ['c', 'cross-platform', 'image', 'image-processing', 'pil', 'pillow'] | ['c', 'cross-platform', 'image', 'image-processing', 'pil', 'pillow'] | 2024-01-12 | [('imageio/imageio', 0.6861987113952637, 'util', 0), ('scikit-image/scikit-image', 0.6156206130981445, 'util', 1), ('rhettbull/osxphotos', 0.5487352609634399, 'util', 0), ('lightly-ai/lightly', 0.5426392555236816, 'ml', 0), ('mdbloice/augmentor', 0.5397363305091858, 'ml', 0), ('luispedro/mahotas', 0.5384292602539062, '... | 458 | 4 | null | 35.9 | 305 | 269 | 140 | 0 | 5 | 8 | 5 | 305 | 743 | 90 | 2.4 | 64 |
393 | web | https://github.com/encode/starlette | [] | null | [] | [] | null | null | null | encode/starlette | starlette | 9,054 | 805 | 105 | Python | https://www.starlette.io/ | The little ASGI framework that shines. 🌟 | encode | 2024-01-13 | 2018-06-25 | 292 | 30.991687 | https://avatars.githubusercontent.com/u/19159390?v=4 | The little ASGI framework that shines. 🌟 | ['async', 'http', 'websockets'] | ['async', 'http', 'websockets'] | 2024-01-13 | [('pallets/quart', 0.7032433152198792, 'web', 0), ('neoteroi/blacksheep', 0.6760811805725098, 'web', 1), ('encode/uvicorn', 0.6668508052825928, 'web', 1), ('aio-libs/aiohttp', 0.6300008296966553, 'web', 2), ('miguelgrinberg/python-socketio', 0.6212427616119385, 'util', 0), ('encode/httpx', 0.5981119275093079, 'web', 1)... | 255 | 6 | null | 3.44 | 125 | 106 | 68 | 0 | 17 | 25 | 17 | 125 | 210 | 90 | 1.7 | 64 |
1,120 | math | https://github.com/cupy/cupy | [] | null | [] | [] | null | null | null | cupy/cupy | cupy | 7,446 | 735 | 126 | Python | https://cupy.dev | NumPy & SciPy for GPU | cupy | 2024-01-13 | 2016-11-01 | 378 | 19.698413 | https://avatars.githubusercontent.com/u/23187665?v=4 | NumPy & SciPy for GPU | ['cublas', 'cuda', 'cudnn', 'cupy', 'curand', 'cusolver', 'cusparse', 'cusparselt', 'cutensor', 'gpu', 'nccl', 'numpy', 'nvrtc', 'nvtx', 'rocm', 'scipy', 'tensor'] | ['cublas', 'cuda', 'cudnn', 'cupy', 'curand', 'cusolver', 'cusparse', 'cusparselt', 'cutensor', 'gpu', 'nccl', 'numpy', 'nvrtc', 'nvtx', 'rocm', 'scipy', 'tensor'] | 2024-01-12 | [('rapidsai/cudf', 0.6393476724624634, 'pandas', 2), ('numpy/numpy', 0.6240665912628174, 'math', 1), ('nvidia/cuda-python', 0.5955917835235596, 'ml', 0), ('pytorch/pytorch', 0.5749741196632385, 'ml-dl', 3), ('nvidia/tensorrt-llm', 0.5631754994392395, 'viz', 1), ('numba/numba', 0.555233895778656, 'perf', 2), ('cvxgrp/py... | 354 | 4 | null | 31.12 | 236 | 156 | 88 | 0 | 12 | 19 | 12 | 236 | 544 | 90 | 2.3 | 64 |
351 | ml-ops | https://github.com/activeloopai/deeplake | ['vector-search'] | null | [] | [] | null | null | null | activeloopai/deeplake | deeplake | 7,381 | 570 | 84 | Python | https://activeloop.ai | Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai | activeloopai | 2024-01-13 | 2019-08-09 | 233 | 31.600612 | https://avatars.githubusercontent.com/u/34816118?v=4 | Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai | ['ai', 'computer-vision', 'cv', 'data-science', 'data-version-control', 'datalake', 'datasets', 'deep-learning', 'image-processing', 'langchain', 'large-language-models', 'llm', 'machine-learning', 'ml', 'mlops', 'pytorch', 'tensorflow', 'vector-database', 'vector-search'] | ['ai', 'computer-vision', 'cv', 'data-science', 'data-version-control', 'datalake', 'datasets', 'deep-learning', 'image-processing', 'langchain', 'large-language-models', 'llm', 'machine-learning', 'ml', 'mlops', 'pytorch', 'tensorflow', 'vector-database', 'vector-search'] | 2024-01-13 | [('lancedb/lancedb', 0.7212356925010681, 'data', 1), ('superduperdb/superduperdb', 0.7059310674667358, 'data', 5), ('qdrant/qdrant', 0.6835601329803467, 'data', 4), ('jina-ai/vectordb', 0.639483630657196, 'data', 2), ('mindsdb/mindsdb', 0.630451500415802, 'data', 4), ('milvus-io/bootcamp', 0.6203997731208801, 'data', 2... | 125 | 4 | null | 27.31 | 86 | 74 | 54 | 0 | 83 | 43 | 83 | 86 | 174 | 90 | 2 | 64 |
776 | diffusion | https://github.com/carson-katri/dream-textures | [] | null | [] | [] | null | null | null | carson-katri/dream-textures | dream-textures | 7,370 | 394 | 108 | Python | null | Stable Diffusion built-in to Blender | carson-katri | 2024-01-14 | 2022-09-08 | 72 | 101.355599 | null | Stable Diffusion built-in to Blender | ['ai', 'blender', 'blender-addon', 'image-generation', 'stable-diffusion'] | ['ai', 'blender', 'blender-addon', 'image-generation', 'stable-diffusion'] | 2023-11-07 | [('automatic1111/stable-diffusion-webui', 0.7420854568481445, 'diffusion', 3), ('stability-ai/stability-sdk', 0.7153577208518982, 'diffusion', 1), ('bentoml/onediffusion', 0.6899959444999695, 'diffusion', 2), ('comfyanonymous/comfyui', 0.6763654947280884, 'diffusion', 1), ('albarji/mixture-of-diffusers', 0.632887899875... | 11 | 5 | null | 0.54 | 65 | 31 | 16 | 0 | 4 | 10 | 4 | 65 | 113 | 90 | 1.7 | 64 |
1,881 | pandas | https://github.com/rapidsai/cudf | ['pandas', 'gpu', 'dataframe'] | cuDF is a GPU DataFrame library for loading joining, aggregating, filtering, and otherwise manipulating data | [] | [] | null | null | null | rapidsai/cudf | cudf | 6,898 | 797 | 146 | C++ | https://docs.rapids.ai/api/cudf/stable/ | cuDF - GPU DataFrame Library | rapidsai | 2024-01-13 | 2017-05-07 | 351 | 19.636438 | https://avatars.githubusercontent.com/u/43887749?v=4 | cuDF - GPU DataFrame Library | ['arrow', 'cpp', 'cuda', 'cudf', 'dask', 'data-analysis', 'data-science', 'dataframe', 'gpu', 'pandas', 'pydata', 'rapids'] | ['arrow', 'cpp', 'cuda', 'cudf', 'dask', 'data-analysis', 'data-science', 'dataframe', 'gpu', 'pandas', 'pydata', 'rapids'] | 2024-01-12 | [('cupy/cupy', 0.6393476724624634, 'math', 2), ('hi-primus/optimus', 0.6309337019920349, 'ml-ops', 4), ('pandas-dev/pandas', 0.6205441355705261, 'pandas', 5), ('man-group/dtale', 0.5755491256713867, 'viz', 3), ('jmcarpenter2/swifter', 0.5688180923461914, 'pandas', 2), ('vaexio/vaex', 0.56623375415802, 'perf', 2), ('mit... | 269 | 3 | null | 33.96 | 609 | 405 | 81 | 0 | 12 | 15 | 12 | 606 | 1,425 | 90 | 2.4 | 64 |
1,285 | llm | https://github.com/zilliztech/gptcache | [] | null | [] | [] | null | null | null | zilliztech/gptcache | GPTCache | 5,883 | 417 | 56 | Python | https://gptcache.readthedocs.io | Semantic cache for LLMs. Fully integrated with LangChain and llama_index. | zilliztech | 2024-01-14 | 2023-03-24 | 44 | 131.990385 | https://avatars.githubusercontent.com/u/18416694?v=4 | Semantic cache for LLMs. Fully integrated with LangChain and llama_index. | ['aigc', 'autogpt', 'babyagi', 'chatbot', 'chatgpt', 'chatgpt-api', 'dolly', 'gpt', 'langchain', 'llama', 'llama-index', 'llm', 'memcache', 'milvus', 'openai', 'redis', 'semantic-search', 'similarity-search', 'vector-search'] | ['aigc', 'autogpt', 'babyagi', 'chatbot', 'chatgpt', 'chatgpt-api', 'dolly', 'gpt', 'langchain', 'llama', 'llama-index', 'llm', 'memcache', 'milvus', 'openai', 'redis', 'semantic-search', 'similarity-search', 'vector-search'] | 2023-11-28 | [('shishirpatil/gorilla', 0.6505623459815979, 'llm', 2), ('intel/intel-extension-for-transformers', 0.6376039981842041, 'perf', 1), ('deepset-ai/haystack', 0.6036768555641174, 'llm', 2), ('jerryjliu/llama_index', 0.5998677611351013, 'llm', 3), ('run-llama/rags', 0.5993092060089111, 'llm', 4), ('run-llama/llama-hub', 0.... | 41 | 1 | null | 9.54 | 45 | 16 | 10 | 2 | 40 | 49 | 40 | 45 | 68 | 90 | 1.5 | 64 |
1,834 | llm | https://github.com/run-llama/rags | ['rag'] | null | [] | [] | null | null | null | run-llama/rags | rags | 5,280 | 640 | 46 | Python | null | Build ChatGPT over your data, all with natural language | run-llama | 2024-01-14 | 2023-11-16 | 10 | 492.8 | https://avatars.githubusercontent.com/u/130722866?v=4 | Build ChatGPT over your data, all with natural language | ['agent', 'chatbot', 'chatgpt', 'gpts', 'llamaindex', 'llm', 'openai', 'rag', 'streamlit'] | ['agent', 'chatbot', 'chatgpt', 'gpts', 'llamaindex', 'llm', 'openai', 'rag', 'streamlit'] | 2023-12-05 | [('embedchain/embedchain', 0.775257408618927, 'llm', 2), ('xtekky/gpt4free', 0.7228777408599854, 'llm', 3), ('microsoft/autogen', 0.713228166103363, 'llm', 2), ('openai/openai-cookbook', 0.7131730318069458, 'ml', 2), ('killianlucas/open-interpreter', 0.6841922998428345, 'llm', 1), ('nomic-ai/gpt4all', 0.679734468460083... | 5 | 2 | null | 0.33 | 58 | 31 | 2 | 1 | 0 | 0 | 0 | 58 | 68 | 90 | 1.2 | 64 |
1,592 | llm | https://github.com/skypilot-org/skypilot | ['ml-platform', 'ml-infrastructure'] | null | [] | [] | null | null | null | skypilot-org/skypilot | skypilot | 4,870 | 313 | 61 | Python | https://skypilot.readthedocs.io | SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface. | skypilot-org | 2024-01-13 | 2021-08-11 | 128 | 37.793792 | https://avatars.githubusercontent.com/u/109387420?v=4 | SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface. | ['cloud-computing', 'cloud-management', 'cost-management', 'cost-optimization', 'data-science', 'deep-learning', 'distributed-training', 'finops', 'gpu', 'hyperparameter-tuning', 'job-queue', 'job-scheduler', 'llm-serving', 'llm-training', 'machine-learning', 'ml-infrastructure', 'ml-platform', 'multicloud', 'spot-inst... | ['cloud-computing', 'cloud-management', 'cost-management', 'cost-optimization', 'data-science', 'deep-learning', 'distributed-training', 'finops', 'gpu', 'hyperparameter-tuning', 'job-queue', 'job-scheduler', 'llm-serving', 'llm-training', 'machine-learning', 'ml-infrastructure', 'ml-platform', 'multicloud', 'spot-inst... | 2024-01-14 | [('polyaxon/polyaxon', 0.6188631057739258, 'ml-ops', 3), ('lithops-cloud/lithops', 0.6185680031776428, 'ml-ops', 2), ('googlecloudplatform/vertex-ai-samples', 0.6106062531471252, 'ml', 1), ('netflix/metaflow', 0.6102747321128845, 'ml-ops', 4), ('jina-ai/jina', 0.5877841711044312, 'ml', 2), ('bigscience-workshop/petals'... | 61 | 5 | null | 11.79 | 532 | 288 | 30 | 0 | 9 | 6 | 9 | 533 | 790 | 90 | 1.5 | 64 |
1,525 | llm | https://github.com/stanfordnlp/dspy | ['reasoning', 'prompting', 'fine-tuning', 'retrieval'] | null | [] | [] | 1 | null | null | stanfordnlp/dspy | dspy | 4,712 | 290 | 90 | Python | null | Stanford DSPy: The framework for programming—not prompting—foundation models | stanfordnlp | 2024-01-14 | 2023-01-09 | 55 | 85.450777 | https://avatars.githubusercontent.com/u/3046006?v=4 | Stanford DSPy: The framework for programming—not prompting—foundation models | [] | ['fine-tuning', 'prompting', 'reasoning', 'retrieval'] | 2024-01-13 | [('srush/minichain', 0.6080040335655212, 'llm', 0), ('python/cpython', 0.5970360040664673, 'util', 0), ('kyegomez/tree-of-thoughts', 0.5961645245552063, 'llm', 0), ('reasoning-machines/pal', 0.5881893038749695, 'llm', 1), ('eleutherai/pyfra', 0.5839141607284546, 'ml', 0), ('keirp/automatic_prompt_engineer', 0.583566844... | 44 | 4 | null | 8.67 | 140 | 90 | 12 | 0 | 0 | 0 | 0 | 138 | 302 | 90 | 2.2 | 64 |
1,890 | llm | https://github.com/mnotgod96/appagent | [] | null | [] | [] | null | null | null | mnotgod96/appagent | AppAgent | 3,223 | 312 | 40 | Python | https://appagent-official.github.io/ | AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps. | mnotgod96 | 2024-01-14 | 2023-12-20 | 5 | 550.268293 | null | AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps. | ['agent', 'chatgpt', 'generative-ai', 'gpt4', 'gpt4v', 'llm'] | ['agent', 'chatgpt', 'generative-ai', 'gpt4', 'gpt4v', 'llm'] | 2024-01-03 | [('pathwaycom/llm-app', 0.6296766400337219, 'llm', 1), ('microsoft/semantic-kernel', 0.6219491362571716, 'llm', 1), ('microsoft/promptflow', 0.5954347252845764, 'llm', 2), ('microsoft/autogen', 0.5801144242286682, 'llm', 1), ('geekan/metagpt', 0.5650525093078613, 'llm', 2), ('embedchain/embedchain', 0.5549655556678772,... | 6 | 3 | null | 0.42 | 32 | 5 | 1 | 0 | 0 | 0 | 0 | 32 | 41 | 90 | 1.3 | 64 |
1,101 | llm | https://github.com/tatsu-lab/stanford_alpaca | [] | null | [] | [] | null | null | null | tatsu-lab/stanford_alpaca | stanford_alpaca | 28,052 | 3,980 | 335 | Python | https://crfm.stanford.edu/2023/03/13/alpaca.html | Code and documentation to train Stanford's Alpaca models, and generate the data. | tatsu-lab | 2024-01-13 | 2023-03-10 | 46 | 602.343558 | https://avatars.githubusercontent.com/u/61893194?v=4 | Code and documentation to train Stanford's Alpaca models, and generate the data. | ['deep-learning', 'instruction-following', 'language-model'] | ['deep-learning', 'instruction-following', 'language-model'] | 2023-05-30 | [('optimalscale/lmflow', 0.6111303567886353, 'llm', 3), ('hannibal046/awesome-llm', 0.6053584218025208, 'study', 1), ('yizhongw/self-instruct', 0.5977901816368103, 'llm', 1), ('jonasgeiping/cramming', 0.5919219851493835, 'nlp', 1), ('huggingface/text-generation-inference', 0.5844063758850098, 'llm', 1), ('juncongmoo/py... | 5 | 3 | null | 0.6 | 19 | 4 | 10 | 8 | 0 | 0 | 0 | 19 | 20 | 90 | 1.1 | 63 |
62 | viz | https://github.com/plotly/dash | [] | null | [] | [] | null | null | null | plotly/dash | dash | 19,929 | 2,030 | 413 | Python | https://plotly.com/dash | Data Apps & Dashboards for Python. No JavaScript Required. | plotly | 2024-01-14 | 2015-04-10 | 459 | 43.364315 | https://avatars.githubusercontent.com/u/5997976?v=4 | Data Apps & Dashboards for Python. No JavaScript Required. | ['bioinformatics', 'charting', 'dash', 'data-science', 'data-visualization', 'finance', 'flask', 'gui-framework', 'julia', 'jupyter', 'modeling', 'plotly', 'plotly-dash', 'productivity', 'r', 'react', 'rstats', 'technical-computing', 'web-app'] | ['bioinformatics', 'charting', 'dash', 'data-science', 'data-visualization', 'finance', 'flask', 'gui-framework', 'julia', 'jupyter', 'modeling', 'plotly', 'plotly-dash', 'productivity', 'r', 'react', 'rstats', 'technical-computing', 'web-app'] | 2024-01-09 | [('holoviz/panel', 0.7759690284729004, 'viz', 2), ('plotly/plotly.py', 0.714753270149231, 'viz', 2), ('bokeh/bokeh', 0.7066522240638733, 'viz', 1), ('krzjoa/awesome-python-data-science', 0.6923890113830566, 'study', 2), ('polyaxon/datatile', 0.6874310970306396, 'pandas', 3), ('ranaroussi/quantstats', 0.6857461333274841... | 143 | 1 | null | 6.75 | 91 | 40 | 107 | 0 | 17 | 11 | 17 | 91 | 162 | 90 | 1.8 | 63 |
1,699 | util | https://github.com/mkdocs/mkdocs | [] | null | [] | [] | null | null | null | mkdocs/mkdocs | mkdocs | 17,718 | 2,353 | 231 | Python | https://www.mkdocs.org | Project documentation with Markdown. | mkdocs | 2024-01-14 | 2014-01-11 | 524 | 33.785345 | https://avatars.githubusercontent.com/u/9692741?v=4 | Project documentation with Markdown. | ['documentation', 'markdown', 'mkdocs', 'static-site-generator'] | ['documentation', 'markdown', 'mkdocs', 'static-site-generator'] | 2023-12-23 | [('mkdocstrings/mkdocstrings', 0.6345070600509644, 'util', 1), ('squidfunk/mkdocs-material', 0.6341920495033264, 'util', 2), ('sphinx-doc/sphinx', 0.6297897100448608, 'util', 2), ('getpelican/pelican', 0.5778642296791077, 'web', 1), ('mitmproxy/pdoc', 0.5321336984634399, 'util', 1), ('pdoc3/pdoc', 0.5143741369247437, '... | 246 | 5 | null | 3.58 | 122 | 94 | 122 | 1 | 5 | 6 | 5 | 122 | 224 | 90 | 1.8 | 63 |
1,046 | ml-dl | https://github.com/lucidrains/vit-pytorch | [] | null | [] | [] | null | null | null | lucidrains/vit-pytorch | vit-pytorch | 16,580 | 2,635 | 137 | Python | null | Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch | lucidrains | 2024-01-14 | 2020-10-03 | 173 | 95.601318 | null | Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch | ['artificial-intelligence', 'attention-mechanism', 'computer-vision', 'image-classification', 'transformers'] | ['artificial-intelligence', 'attention-mechanism', 'computer-vision', 'image-classification', 'transformers'] | 2023-12-23 | [('nvlabs/gcvit', 0.6527162790298462, 'diffusion', 0), ('roboflow/notebooks', 0.6355553865432739, 'study', 2), ('google-research/maxvit', 0.6311172246932983, 'ml', 1), ('deci-ai/super-gradients', 0.62143474817276, 'ml-dl', 2), ('lucidrains/imagen-pytorch', 0.5685757994651794, 'ml-dl', 1), ('microsoft/swin-transformer',... | 20 | 5 | null | 0.77 | 16 | 6 | 40 | 1 | 30 | 57 | 30 | 16 | 15 | 90 | 0.9 | 63 |
865 | util | https://github.com/ipython/ipython | [] | null | [] | ['<hide>'] | null | null | null | ipython/ipython | ipython | 16,051 | 4,488 | 755 | Python | https://ipython.readthedocs.org | Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc. | ipython | 2024-01-13 | 2010-05-10 | 716 | 22.413126 | https://avatars.githubusercontent.com/u/230453?v=4 | Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc. | ['data-science', 'ipython', 'jupyter', 'notebook', 'repl', 'spec-0'] | ['data-science', 'ipython', 'jupyter', 'notebook', 'repl', 'spec-0'] | 2024-01-10 | [('ipython/ipykernel', 0.6446179747581482, 'util', 2), ('wesm/pydata-book', 0.6048235893249512, 'study', 0), ('python/cpython', 0.5930864810943604, 'util', 0), ('pypy/pypy', 0.583660364151001, 'util', 0), ('faster-cpython/ideas', 0.5474236607551575, 'perf', 0), ('urwid/urwid', 0.5444232821464539, 'term', 0), ('rasbt/wa... | 978 | 7 | null | 9.31 | 191 | 68 | 167 | 0 | 0 | 12 | 12 | 222 | 162 | 90 | 0.7 | 63 |
63 | viz | https://github.com/plotly/plotly.py | [] | null | [] | [] | null | null | null | plotly/plotly.py | plotly.py | 14,686 | 2,467 | 280 | Python | https://plotly.com/python/ | The interactive graphing library for Python :sparkles: This project now includes Plotly Express! | plotly | 2024-01-14 | 2013-11-21 | 531 | 27.620097 | https://avatars.githubusercontent.com/u/5997976?v=4 | The interactive graphing library for Python ✨ This project now includes Plotly Express! | ['d3', 'dashboard', 'declarative', 'graph-library', 'interactive', 'jupyter-notebook', 'plotly', 'plotly-dash', 'plotlyjs', 'regl', 'sparkles', 'visualization', 'webgl'] | ['d3', 'dashboard', 'declarative', 'graph-library', 'interactive', 'jupyter-notebook', 'plotly', 'plotly-dash', 'plotlyjs', 'regl', 'sparkles', 'visualization', 'webgl'] | 2023-12-21 | [('bokeh/bokeh', 0.7521082758903503, 'viz', 1), ('vizzuhq/ipyvizzu', 0.7362504601478577, 'jupyter', 1), ('holoviz/panel', 0.7203231453895569, 'viz', 1), ('plotly/dash', 0.714753270149231, 'viz', 2), ('cuemacro/chartpy', 0.6865983605384827, 'viz', 1), ('man-group/dtale', 0.6799153089523315, 'viz', 3), ('maartenbreddels/... | 252 | 6 | null | 6.21 | 139 | 54 | 124 | 1 | 9 | 14 | 9 | 136 | 208 | 90 | 1.5 | 63 |
571 | perf | https://github.com/pybind/pybind11 | [] | null | [] | [] | null | null | null | pybind/pybind11 | pybind11 | 14,217 | 2,075 | 250 | C++ | https://pybind11.readthedocs.io/ | Seamless operability between C++11 and Python | pybind | 2024-01-14 | 2015-07-05 | 447 | 31.785053 | https://avatars.githubusercontent.com/u/17565521?v=4 | Seamless operability between C++11 and Python | ['bindings'] | ['bindings'] | 2024-01-13 | [('nvidia/cuda-python', 0.6058850288391113, 'ml', 0), ('marella/ctransformers', 0.5483258962631226, 'nlp', 0), ('pyo3/pyo3', 0.5454217791557312, 'util', 0), ('pyston/pyston', 0.5205539464950562, 'util', 0)] | 341 | 6 | null | 2.79 | 148 | 95 | 104 | 0 | 3 | 7 | 3 | 148 | 273 | 90 | 1.8 | 63 |
1,164 | llm | https://github.com/mayooear/gpt4-pdf-chatbot-langchain | [] | null | [] | [] | null | null | null | mayooear/gpt4-pdf-chatbot-langchain | gpt4-pdf-chatbot-langchain | 14,031 | 3,030 | 150 | TypeScript | https://www.youtube.com/watch?v=ih9PBGVVOO4 | GPT4 & LangChain Chatbot for large PDF docs | mayooear | 2024-01-14 | 2023-03-17 | 45 | 307.890282 | null | GPT4 & LangChain Chatbot for large PDF docs | ['gpt4', 'langchain', 'nextjs', 'openai', 'pdf', 'typescript'] | ['gpt4', 'langchain', 'nextjs', 'openai', 'pdf', 'typescript'] | 2023-11-13 | [('bhaskatripathi/pdfgpt', 0.6926714777946472, 'llm', 0), ('xtekky/gpt4free', 0.642866313457489, 'llm', 2), ('killianlucas/open-interpreter', 0.6425415277481079, 'llm', 0), ('run-llama/rags', 0.6243221163749695, 'llm', 1), ('openai/openai-cookbook', 0.59941166639328, 'ml', 1), ('h2oai/h2ogpt', 0.5983483195304871, 'llm'... | 3 | 2 | null | 0.4 | 64 | 40 | 10 | 2 | 0 | 0 | 0 | 64 | 87 | 90 | 1.4 | 63 |
902 | perf | https://github.com/exaloop/codon | [] | null | [] | [] | null | null | null | exaloop/codon | codon | 13,597 | 491 | 128 | C++ | https://docs.exaloop.io/codon | A high-performance, zero-overhead, extensible Python compiler using LLVM | exaloop | 2024-01-14 | 2021-09-27 | 122 | 111.320468 | https://avatars.githubusercontent.com/u/89494599?v=4 | A high-performance, zero-overhead, extensible Python compiler using LLVM | ['compiler', 'gpu-programming', 'high-performance', 'llvm', 'parallel-programming'] | ['compiler', 'gpu-programming', 'high-performance', 'llvm', 'parallel-programming'] | 2024-01-13 | [('numba/numba', 0.7364824414253235, 'perf', 2), ('lcompilers/lpython', 0.7257847189903259, 'util', 2), ('cython/cython', 0.7081640958786011, 'util', 0), ('pypy/pypy', 0.6885042786598206, 'util', 1), ('numba/llvmlite', 0.6857039332389832, 'util', 0), ('pyston/pyston', 0.6812407970428467, 'util', 0), ('nvidia/tensorrt-l... | 13 | 3 | null | 1 | 45 | 21 | 28 | 0 | 6 | 4 | 6 | 45 | 34 | 90 | 0.8 | 63 |
1,319 | llm | https://github.com/openlmlab/moss | ['language-model'] | null | [] | [] | null | null | null | openlmlab/moss | MOSS | 11,710 | 1,151 | 123 | Python | https://txsun1997.github.io/blogs/moss.html | An open-source tool-augmented conversational language model from Fudan University | openlmlab | 2024-01-14 | 2023-04-15 | 41 | 282.655172 | https://avatars.githubusercontent.com/u/127190579?v=4 | An open-source tool-augmented conversational language model from Fudan University | ['chatgpt', 'deep-learning', 'dialogue-systems', 'large-language-models', 'natural-language-processing', 'text-generation'] | ['chatgpt', 'deep-learning', 'dialogue-systems', 'language-model', 'large-language-models', 'natural-language-processing', 'text-generation'] | 2023-09-08 | [('lm-sys/fastchat', 0.6857122778892517, 'llm', 1), ('rasahq/rasa', 0.6797881126403809, 'llm', 1), ('deeppavlov/deeppavlov', 0.6669769287109375, 'nlp', 2), ('rcgai/simplyretrieve', 0.6414903998374939, 'llm', 2), ('nvidia/nemo', 0.640605628490448, 'nlp', 2), ('microsoft/autogen', 0.6363752484321594, 'llm', 1), ('next-gp... | 17 | 3 | null | 3.42 | 13 | 2 | 9 | 4 | 0 | 0 | 0 | 13 | 13 | 90 | 1 | 63 |
644 | profiling | https://github.com/plasma-umass/scalene | [] | null | [] | [] | 1 | null | null | plasma-umass/scalene | scalene | 10,488 | 362 | 87 | JavaScript | null | Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals | plasma-umass | 2024-01-14 | 2019-12-17 | 215 | 48.781395 | https://avatars.githubusercontent.com/u/1880823?v=4 | Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals | ['cpu', 'cpu-profiling', 'gpu', 'gpu-programming', 'memory-allocation', 'memory-consumption', 'performance-analysis', 'performance-cpu', 'profiler', 'profiles-memory', 'profiling', 'python-profilers', 'scalene'] | ['cpu', 'cpu-profiling', 'gpu', 'gpu-programming', 'memory-allocation', 'memory-consumption', 'performance-analysis', 'performance-cpu', 'profiler', 'profiles-memory', 'profiling', 'python-profilers', 'scalene'] | 2024-01-11 | [('ray-project/ray', 0.6044383645057678, 'ml-ops', 0), ('pythonspeed/filprofiler', 0.6020299196243286, 'profiling', 0), ('micropython/micropython', 0.6017813086509705, 'util', 0), ('intel/intel-extension-for-pytorch', 0.5931693315505981, 'perf', 0), ('cython/cython', 0.5566608905792236, 'util', 0), ('pytorch/glow', 0.5... | 44 | 6 | null | 3.65 | 52 | 27 | 50 | 0 | 19 | 15 | 19 | 52 | 55 | 90 | 1.1 | 63 |
93 | ml-ops | https://github.com/ludwig-ai/ludwig | ['llm-training'] | null | [] | [] | null | null | null | ludwig-ai/ludwig | ludwig | 10,390 | 1,150 | 190 | Python | http://ludwig.ai | Low-code framework for building custom LLMs, neural networks, and other AI models | ludwig-ai | 2024-01-13 | 2018-12-27 | 265 | 39.102151 | https://avatars.githubusercontent.com/u/65477820?v=4 | Low-code framework for building custom LLMs, neural networks, and other AI models | ['computer-vision', 'data-centric', 'data-science', 'deep', 'deep-learning', 'deeplearning', 'fine-tuning', 'learning', 'llama', 'llama2', 'llm', 'llm-training', 'machine-learning', 'machinelearning', 'mistral', 'ml', 'natural-language', 'natural-language-processing', 'neural-network', 'pytorch'] | ['computer-vision', 'data-centric', 'data-science', 'deep', 'deep-learning', 'deeplearning', 'fine-tuning', 'learning', 'llama', 'llama2', 'llm', 'llm-training', 'machine-learning', 'machinelearning', 'mistral', 'ml', 'natural-language', 'natural-language-processing', 'neural-network', 'pytorch'] | 2024-01-12 | [('microsoft/torchscale', 0.6496773958206177, 'llm', 3), ('salesforce/codet5', 0.6258037686347961, 'nlp', 0), ('rafiqhasan/auto-tensorflow', 0.6223335266113281, 'ml-dl', 3), ('tigerlab-ai/tiger', 0.6120554804801941, 'llm', 3), ('bentoml/bentoml', 0.6104065775871277, 'ml-ops', 2), ('h2oai/h2o-llmstudio', 0.6097002625465... | 151 | 2 | null | 11.25 | 184 | 148 | 61 | 0 | 17 | 11 | 17 | 183 | 277 | 90 | 1.5 | 63 |
1,624 | util | https://github.com/nuitka/nuitka | [] | null | [] | [] | null | null | null | nuitka/nuitka | Nuitka | 10,305 | 563 | 135 | Python | http://nuitka.net | Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module. | nuitka | 2024-01-14 | 2013-04-23 | 562 | 18.336299 | https://avatars.githubusercontent.com/u/43496036?v=4 | Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module. | ['compiler', 'nuitka', 'packaging-tool', 'performance', 'programming', 'python-compiler'] | ['compiler', 'nuitka', 'packaging-tool', 'performance', 'programming', 'python-compiler'] | 2024-01-12 | [('chrismattmann/tika-python', 0.5718207955360413, 'nlp', 0), ('numerai/numerox', 0.5074256062507629, 'finance', 0), ('pypy/pypy', 0.5013567209243774, 'util', 1)] | 166 | 4 | null | 89.88 | 1,753 | 1,685 | 131 | 0 | 0 | 34 | 34 | 1,753 | 851 | 90 | 0.5 | 63 |
1,066 | data | https://github.com/bigscience-workshop/petals | [] | null | [] | [] | null | null | null | bigscience-workshop/petals | petals | 8,241 | 423 | 87 | Python | https://petals.dev | 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading | bigscience-workshop | 2024-01-14 | 2022-06-12 | 85 | 96.628141 | https://avatars.githubusercontent.com/u/82455566?v=4 | 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading | ['bloom', 'chatbot', 'deep-learning', 'distributed-systems', 'falcon', 'gpt', 'guanaco', 'language-models', 'large-language-models', 'llama', 'llama2', 'machine-learning', 'neural-networks', 'nlp', 'pipeline-parallelism', 'pretrained-models', 'pytorch', 'tensor-parallelism', 'transformer', 'volunteer-computing'] | ['bloom', 'chatbot', 'deep-learning', 'distributed-systems', 'falcon', 'gpt', 'guanaco', 'language-models', 'large-language-models', 'llama', 'llama2', 'machine-learning', 'neural-networks', 'nlp', 'pipeline-parallelism', 'pretrained-models', 'pytorch', 'tensor-parallelism', 'transformer', 'volunteer-computing'] | 2023-11-16 | [('intel/intel-extension-for-transformers', 0.7305524945259094, 'perf', 1), ('predibase/lorax', 0.6941356062889099, 'llm', 3), ('vllm-project/vllm', 0.6905003190040588, 'llm', 4), ('bentoml/openllm', 0.6789776682853699, 'ml-ops', 3), ('young-geng/easylm', 0.6689819693565369, 'llm', 5), ('bobazooba/xllm', 0.667163610458... | 15 | 6 | null | 3.13 | 30 | 12 | 19 | 2 | 9 | 10 | 9 | 30 | 31 | 90 | 1 | 63 |
457 | ml-ops | https://github.com/dbt-labs/dbt-core | [] | null | [] | [] | null | null | null | dbt-labs/dbt-core | dbt-core | 8,100 | 1,422 | 134 | Python | https://getdbt.com | dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. | dbt-labs | 2024-01-14 | 2016-03-10 | 411 | 19.673838 | https://avatars.githubusercontent.com/u/18339788?v=4 | dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. | ['analytics', 'business-intelligence', 'data-modeling', 'dbt-viewpoint', 'elt', 'pypa', 'slack'] | ['analytics', 'business-intelligence', 'data-modeling', 'dbt-viewpoint', 'elt', 'pypa', 'slack'] | 2024-01-12 | [('mage-ai/mage-ai', 0.5732520818710327, 'ml-ops', 1), ('airbytehq/airbyte', 0.5581380724906921, 'data', 1), ('datafold/data-diff', 0.550411581993103, 'data', 0), ('dlt-hub/dlt', 0.5388659834861755, 'data', 1), ('databricks/dbt-databricks', 0.5302814841270447, 'data', 0), ('dagster-io/dagster', 0.5295764803886414, 'ml-... | 302 | 3 | null | 12.71 | 777 | 483 | 96 | 0 | 73 | 28 | 73 | 777 | 1,463 | 90 | 1.9 | 63 |
66 | ml | https://github.com/pycaret/pycaret | [] | null | [] | [] | null | null | null | pycaret/pycaret | pycaret | 8,084 | 1,715 | 133 | Jupyter Notebook | https://www.pycaret.org | An open-source, low-code machine learning library in Python | pycaret | 2024-01-14 | 2019-11-23 | 218 | 37.00981 | https://avatars.githubusercontent.com/u/58118658?v=4 | An open-source, low-code machine learning library in Python | ['anomaly-detection', 'citizen-data-scientists', 'classification', 'clustering', 'data-science', 'gpu', 'machine-learning', 'ml', 'pycaret', 'regression', 'time-series'] | ['anomaly-detection', 'citizen-data-scientists', 'classification', 'clustering', 'data-science', 'gpu', 'machine-learning', 'ml', 'pycaret', 'regression', 'time-series'] | 2023-12-14 | [('yzhao062/pyod', 0.7633078694343567, 'data', 3), ('unit8co/darts', 0.7233750820159912, 'time-series', 4), ('rasbt/mlxtend', 0.7207165956497192, 'ml', 2), ('featurelabs/featuretools', 0.6861603856086731, 'ml', 2), ('scikit-learn/scikit-learn', 0.6792936325073242, 'ml', 2), ('scikit-learn-contrib/imbalanced-learn', 0.6... | 131 | 5 | null | 7.6 | 123 | 67 | 50 | 0 | 7 | 9 | 7 | 123 | 153 | 90 | 1.2 | 63 |
162 | ml | https://github.com/wandb/client | [] | null | [] | [] | null | null | null | wandb/client | wandb | 7,706 | 594 | 55 | Python | https://wandb.ai | 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API. | wandb | 2024-01-14 | 2017-03-24 | 357 | 21.550939 | https://avatars.githubusercontent.com/u/26401354?v=4 | 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API. | ['collaboration', 'data-science', 'data-versioning', 'deep-learning', 'experiment-track', 'hyperparameter-optimization', 'hyperparameter-search', 'hyperparameter-tuning', 'jax', 'keras', 'machine-learning', 'ml-platform', 'mlops', 'model-versioning', 'pytorch', 'reinforcement-learning', 'reproducibility', 'tensorflow'] | ['collaboration', 'data-science', 'data-versioning', 'deep-learning', 'experiment-track', 'hyperparameter-optimization', 'hyperparameter-search', 'hyperparameter-tuning', 'jax', 'keras', 'machine-learning', 'ml-platform', 'mlops', 'model-versioning', 'pytorch', 'reinforcement-learning', 'reproducibility', 'tensorflow'] | 2024-01-12 | [('aimhubio/aim', 0.696733832359314, 'ml-ops', 5), ('determined-ai/determined', 0.6777682900428772, 'ml-ops', 11), ('polyaxon/polyaxon', 0.6643576622009277, 'ml-ops', 9), ('polyaxon/datatile', 0.6632310748100281, 'pandas', 4), ('gradio-app/gradio', 0.6344223618507385, 'viz', 3), ('ml-tooling/opyrator', 0.61870729923248... | 170 | 3 | null | 19.81 | 770 | 458 | 83 | 0 | 21 | 21 | 21 | 771 | 1,297 | 90 | 1.7 | 63 |
1,571 | nlp | https://github.com/facebookresearch/nougat | ['documents', 'pdf-parser', 'academic', 'latex'] | null | [] | [] | null | null | null | facebookresearch/nougat | nougat | 7,391 | 462 | 60 | Python | https://facebookresearch.github.io/nougat/ | Implementation of Nougat Neural Optical Understanding for Academic Documents | facebookresearch | 2024-01-14 | 2023-06-07 | 33 | 218.299578 | https://avatars.githubusercontent.com/u/16943930?v=4 | Implementation of Nougat Neural Optical Understanding for Academic Documents | [] | ['academic', 'documents', 'latex', 'pdf-parser'] | 2023-10-04 | [] | 15 | 2 | null | 1.12 | 59 | 16 | 7 | 3 | 2 | 3 | 2 | 59 | 89 | 90 | 1.5 | 63 |
1,537 | llm | https://github.com/lianjiatech/belle | [] | null | [] | [] | null | null | null | lianjiatech/belle | BELLE | 7,155 | 711 | 105 | HTML | null | BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型） | lianjiatech | 2024-01-14 | 2023-03-17 | 45 | 157.00627 | https://avatars.githubusercontent.com/u/14540911?v=4 | BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型） | ['bloom', 'chinese-nlp', 'gpt-evaluation', 'gpt-q', 'instruct-finetune', 'instruct-gpt', 'instruction-set', 'llama', 'lora', 'open-models'] | ['bloom', 'chinese-nlp', 'gpt-evaluation', 'gpt-q', 'instruct-finetune', 'instruct-gpt', 'instruction-set', 'llama', 'lora', 'open-models'] | 2023-12-29 | [('hannibal046/awesome-llm', 0.8117328882217407, 'study', 0), ('microsoft/autogen', 0.6912463903427124, 'llm', 0), ('ctlllll/llm-toolmaker', 0.6910099983215332, 'llm', 0), ('ai21labs/lm-evaluation', 0.6819735169410706, 'llm', 0), ('bobazooba/xllm', 0.6800654530525208, 'llm', 1), ('baichuan-inc/baichuan-13b', 0.67855918... | 31 | 1 | null | 9.33 | 43 | 33 | 10 | 1 | 2 | 2 | 2 | 43 | 47 | 90 | 1.1 | 63 |
1,449 | util | https://github.com/pdm-project/pdm | ['package-manager', 'packaging'] | null | [] | [] | null | null | null | pdm-project/pdm | pdm | 5,927 | 302 | 31 | Python | https://pdm-project.org | A modern Python package and dependency manager supporting the latest PEP standards | pdm-project | 2024-01-14 | 2019-12-27 | 213 | 27.751839 | https://avatars.githubusercontent.com/u/59549022?v=4 | A modern Python package and dependency manager supporting the latest PEP standards | ['package-manager', 'packaging', 'pep582', 'pep621', 'workflow'] | ['package-manager', 'packaging', 'pep582', 'pep621', 'workflow'] | 2024-01-12 | [('mitsuhiko/rye', 0.7408201694488525, 'util', 2), ('indygreg/pyoxidizer', 0.7249577045440674, 'util', 2), ('python-poetry/poetry', 0.7060061097145081, 'util', 2), ('pypa/hatch', 0.6953819394111633, 'util', 2), ('pomponchik/instld', 0.6940727829933167, 'util', 1), ('pypi/warehouse', 0.6904469728469849, 'util', 0), ('py... | 161 | 4 | null | 8.96 | 241 | 219 | 49 | 0 | 41 | 46 | 41 | 241 | 508 | 90 | 2.1 | 63 |
1,259 | util | https://github.com/timdettmers/bitsandbytes | ['cuda'] | null | [] | [] | null | null | null | timdettmers/bitsandbytes | bitsandbytes | 4,678 | 503 | 43 | Python | null | Accessible large language models via k-bit quantization for PyTorch. | timdettmers | 2024-01-14 | 2021-06-04 | 138 | 33.758763 | null | Accessible large language models via k-bit quantization for PyTorch. | [] | ['cuda'] | 2024-01-12 | [('artidoro/qlora', 0.6154015064239502, 'llm', 0), ('squeezeailab/squeezellm', 0.6107233166694641, 'llm', 0), ('allenai/allennlp', 0.5652725100517273, 'nlp', 0), ('cqcl/lambeq', 0.5420622229576111, 'nlp', 0), ('rentruewang/koila', 0.5362823009490967, 'ml', 0), ('sjtu-ipads/powerinfer', 0.5349003076553345, 'llm', 0), ('... | 56 | 6 | null | 5.06 | 719 | 616 | 32 | 0 | 6 | 5 | 6 | 719 | 1,336 | 90 | 1.9 | 63 |
1,769 | data | https://github.com/tobymao/sqlglot | [] | null | [] | [] | 1 | null | null | tobymao/sqlglot | sqlglot | 4,500 | 479 | 33 | Python | https://sqlglot.com/ | Python SQL Parser and Transpiler | tobymao | 2024-01-14 | 2021-03-13 | 150 | 29.91453 | null | Python SQL Parser and Transpiler | ['bigquery', 'clickhouse', 'databricks', 'duckdb', 'hive', 'mysql', 'optimizer', 'parser', 'postgres', 'presto', 'redshift', 'snowflake', 'spark', 'sql', 'sqlite', 'sqlparser', 'transpiler', 'trino', 'tsql'] | ['bigquery', 'clickhouse', 'databricks', 'duckdb', 'hive', 'mysql', 'optimizer', 'parser', 'postgres', 'presto', 'redshift', 'snowflake', 'spark', 'sql', 'sqlite', 'sqlparser', 'transpiler', 'trino', 'tsql'] | 2024-01-14 | [('ibis-project/ibis', 0.7856696248054504, 'data', 8), ('macbre/sql-metadata', 0.6693900227546692, 'data', 3), ('tiangolo/sqlmodel', 0.6654618382453918, 'data', 1), ('andialbrecht/sqlparse', 0.6332684755325317, 'data', 0), ('pyparsing/pyparsing', 0.6120659708976746, 'util', 0), ('machow/siuba', 0.6064596176147461, 'pan... | 117 | 3 | null | 34.85 | 410 | 406 | 35 | 0 | 0 | 163 | 163 | 411 | 470 | 90 | 1.1 | 63 |
785 | ml-dl | https://github.com/facebookincubator/aitemplate | [] | null | [] | [] | null | null | null | facebookincubator/aitemplate | AITemplate | 4,354 | 349 | 84 | Python | null | AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference. | facebookincubator | 2024-01-13 | 2022-07-15 | 80 | 54.039007 | https://avatars.githubusercontent.com/u/19538647?v=4 | AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference. | [] | [] | 2024-01-06 | [('nvidia/tensorrt-llm', 0.5429112315177917, 'viz', 0), ('pytorch/glow', 0.542003870010376, 'ml', 0), ('pytorch/pytorch', 0.5403209328651428, 'ml-dl', 0), ('plasma-umass/scalene', 0.5074851512908936, 'profiling', 0), ('nvidia/warp', 0.502746045589447, 'sim', 0), ('exaloop/codon', 0.5021023750305176, 'perf', 0)] | 89 | 4 | null | 12.44 | 42 | 28 | 18 | 0 | 1 | 1 | 1 | 42 | 127 | 90 | 3 | 63 |
1,583 | nlp | https://github.com/aiwaves-cn/agents | [] | null | [] | [] | null | null | null | aiwaves-cn/agents | agents | 4,205 | 307 | 58 | Python | http://www.aiwaves-agents.com/ | An Open-source Framework for Autonomous Language Agents | aiwaves-cn | 2024-01-13 | 2023-07-18 | 28 | 150.178571 | https://avatars.githubusercontent.com/u/129118469?v=4 | An Open-source Framework for Autonomous Language Agents | ['autonomous-agents', 'language-model', 'llm'] | ['autonomous-agents', 'language-model', 'llm'] | 2023-12-04 | [('nomic-ai/gpt4all', 0.6714950799942017, 'llm', 1), ('krohling/bondai', 0.6704409718513489, 'llm', 1), ('rasahq/rasa', 0.6561240553855896, 'llm', 0), ('jina-ai/thinkgpt', 0.6464569568634033, 'llm', 1), ('lm-sys/fastchat', 0.6372155547142029, 'llm', 1), ('microsoft/autogen', 0.6282492280006409, 'llm', 1), ('openlmlab/m... | 23 | 3 | null | 20.21 | 47 | 37 | 6 | 1 | 0 | 0 | 0 | 47 | 50 | 90 | 1.1 | 63 |
1,246 | ml-dl | https://github.com/deci-ai/super-gradients | [] | null | [] | [] | null | null | null | deci-ai/super-gradients | super-gradients | 4,073 | 452 | 41 | Jupyter Notebook | https://www.supergradients.com | Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. | deci-ai | 2024-01-14 | 2021-11-28 | 113 | 35.953342 | https://avatars.githubusercontent.com/u/56918593?v=4 | Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. | ['computer-vision', 'deep-learning', 'image-classification', 'imagenet', 'neural-network', 'object-detection', 'pretrained-models', 'pretrained-weights', 'pytorch', 'semantic-segmentation', 'transfer-learning'] | ['computer-vision', 'deep-learning', 'image-classification', 'imagenet', 'neural-network', 'object-detection', 'pretrained-models', 'pretrained-weights', 'pytorch', 'semantic-segmentation', 'transfer-learning'] | 2024-01-12 | [('roboflow/notebooks', 0.8082399368286133, 'study', 5), ('roboflow/supervision', 0.6838550567626953, 'ml', 4), ('facebookresearch/vissl', 0.6394485831260681, 'ml', 0), ('google-research/maxvit', 0.6301395893096924, 'ml', 2), ('nvlabs/gcvit', 0.6253355145454407, 'diffusion', 4), ('lucidrains/vit-pytorch', 0.62143474817... | 52 | 5 | null | 9.79 | 289 | 256 | 26 | 0 | 14 | 457 | 14 | 289 | 401 | 90 | 1.4 | 63 |
1,111 | llm | https://github.com/mmabrouk/chatgpt-wrapper | [] | null | [] | [] | null | null | null | mmabrouk/chatgpt-wrapper | llm-workflow-engine | 3,541 | 463 | 42 | Python | null | Power CLI and Workflow manager for LLMs (core package) | mmabrouk | 2024-01-14 | 2022-12-03 | 60 | 58.598109 | https://avatars.githubusercontent.com/u/134339574?v=4 | Power CLI and Workflow manager for LLMs (core package) | ['chatbot', 'chatgpt', 'gpt-3', 'gpt3', 'gpt4', 'llm', 'openai'] | ['chatbot', 'chatgpt', 'gpt-3', 'gpt3', 'gpt4', 'llm', 'openai'] | 2024-01-09 | [('shishirpatil/gorilla', 0.6682367324829102, 'llm', 2), ('run-llama/rags', 0.644103467464447, 'llm', 4), ('farizrahman4u/loopgpt', 0.6415730118751526, 'llm', 2), ('chainlit/chainlit', 0.6109486222267151, 'llm', 3), ('openai/openai-cookbook', 0.6022109985351562, 'ml', 3), ('h2oai/h2o-llmstudio', 0.5947935581207275, 'll... | 25 | 3 | null | 19.67 | 7 | 7 | 14 | 0 | 80 | 79 | 80 | 7 | 19 | 90 | 2.7 | 63 |
1,199 | llm | https://github.com/h2oai/h2o-llmstudio | [] | null | [] | [] | null | null | null | h2oai/h2o-llmstudio | h2o-llmstudio | 3,215 | 347 | 45 | Python | https://gpt-gm.h2o.ai | H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/ | h2oai | 2024-01-13 | 2023-04-17 | 41 | 78.142361 | https://avatars.githubusercontent.com/u/1402695?v=4 | H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/ | ['ai', 'chatbot', 'chatgpt', 'fine-tuning', 'finetuning', 'generative', 'generative-ai', 'gpt', 'llama', 'llama2', 'llm', 'llm-training'] | ['ai', 'chatbot', 'chatgpt', 'fine-tuning', 'finetuning', 'generative', 'generative-ai', 'gpt', 'llama', 'llama2', 'llm', 'llm-training'] | 2023-12-22 | [('hiyouga/llama-efficient-tuning', 0.6901037096977234, 'llm', 5), ('hiyouga/llama-factory', 0.6901035308837891, 'llm', 5), ('alpha-vllm/llama2-accessory', 0.6861495971679688, 'llm', 1), ('intel/intel-extension-for-transformers', 0.6861023902893066, 'perf', 1), ('microsoft/promptflow', 0.6735444664955139, 'llm', 4), ('... | 24 | 5 | null | 5.33 | 133 | 102 | 9 | 1 | 15 | 20 | 15 | 133 | 119 | 90 | 0.9 | 63 |
729 | diffusion | https://github.com/compvis/stable-diffusion | ['diffusion', 'image-generation'] | null | [] | [] | null | null | null | compvis/stable-diffusion | stable-diffusion | 62,816 | 9,600 | 543 | Jupyter Notebook | https://ommer-lab.com/research/latent-diffusion-models/ | A latent text-to-image diffusion model | compvis | 2024-01-14 | 2022-08-10 | 76 | 817.30855 | https://avatars.githubusercontent.com/u/30233788?v=4 | A latent text-to-image diffusion model | [] | ['diffusion', 'image-generation'] | 2022-11-16 | [('sharonzhou/long_stable_diffusion', 0.6926607489585876, 'diffusion', 0), ('openai/glide-text2im', 0.6833638548851013, 'diffusion', 0), ('compvis/latent-diffusion', 0.655044674873352, 'diffusion', 2), ('stability-ai/stablediffusion', 0.6550443768501282, 'diffusion', 2), ('saharmor/dalle-playground', 0.6419358253479004... | 8 | 1 | null | 0 | 58 | 10 | 17 | 14 | 0 | 0 | 0 | 58 | 105 | 90 | 1.8 | 62 |
244 | ml | https://github.com/tencentarc/gfpgan | [] | null | [] | [] | null | null | null | tencentarc/gfpgan | GFPGAN | 33,415 | 5,481 | 481 | Python | null | GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. | tencentarc | 2024-01-14 | 2021-03-19 | 149 | 223.404967 | https://avatars.githubusercontent.com/u/83739826?v=4 | GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. | ['deep-learning', 'face-restoration', 'gan', 'gfpgan', 'image-restoration', 'pytorch', 'super-resolution'] | ['deep-learning', 'face-restoration', 'gan', 'gfpgan', 'image-restoration', 'pytorch', 'super-resolution'] | 2022-09-16 | [('xpixelgroup/basicsr', 0.6321846842765808, 'ml-dl', 2), ('xinntao/real-esrgan', 0.5772732496261597, 'ml-dl', 3), ('deepfakes/faceswap', 0.5402413606643677, 'ml-dl', 1), ('mchong6/jojogan', 0.5290706753730774, 'data', 0)] | 11 | 3 | null | 0 | 45 | 4 | 34 | 16 | 0 | 5 | 5 | 45 | 31 | 90 | 0.7 | 62 |
232 | template | https://github.com/cookiecutter/cookiecutter | [] | null | [] | [] | null | null | null | cookiecutter/cookiecutter | cookiecutter | 20,987 | 1,986 | 227 | Python | https://pypi.org/project/cookiecutter/ | A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects. | cookiecutter | 2024-01-14 | 2013-07-14 | 550 | 38.13837 | https://avatars.githubusercontent.com/u/12502901?v=4 | A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects. | ['cookiecutter'] | ['cookiecutter'] | 2023-11-27 | [('lyz-code/cookiecutter-python-project', 0.8542928099632263, 'template', 1), ('tedivm/robs_awesome_python_template', 0.8344708681106567, 'template', 0), ('giswqs/pypackage', 0.7356756329536438, 'template', 1), ('ionelmc/cookiecutter-pylibrary', 0.7163523435592651, 'template', 1), ('buuntu/fastapi-react', 0.63355213403... | 318 | 6 | null | 1.56 | 90 | 43 | 128 | 2 | 7 | 4 | 7 | 90 | 105 | 90 | 1.2 | 62 |
1,055 | study | https://github.com/microsoft/recommenders | [] | null | [] | [] | null | null | null | microsoft/recommenders | recommenders | 17,261 | 2,965 | 270 | Python | https://microsoft-recommenders.readthedocs.io/en/latest/ | Best Practices on Recommendation Systems | microsoft | 2024-01-14 | 2018-09-19 | 279 | 61.677897 | https://avatars.githubusercontent.com/u/142452264?v=4 | Best Practices on Recommendation Systems | ['artificial-intelligence', 'azure', 'data-science', 'deep-learning', 'jupyter-notebook', 'kubernetes', 'machine-learning', 'microsoft', 'operationalization', 'ranking', 'rating', 'recommendation', 'recommendation-algorithm', 'recommendation-engine', 'recommendation-system', 'recommender', 'tutorial'] | ['artificial-intelligence', 'azure', 'data-science', 'deep-learning', 'jupyter-notebook', 'kubernetes', 'machine-learning', 'microsoft', 'operationalization', 'ranking', 'rating', 'recommendation', 'recommendation-algorithm', 'recommendation-engine', 'recommendation-system', 'recommender', 'tutorial'] | 2023-12-23 | [('rucaibox/recbole', 0.5956623554229736, 'ml', 3), ('nicolashug/surprise', 0.5881096720695496, 'ml', 3), ('pytorch/torchrec', 0.5602710247039795, 'ml-dl', 2), ('jacopotagliabue/reclist', 0.5187485218048096, 'ml', 1)] | 128 | 2 | null | 6.81 | 52 | 27 | 65 | 1 | 0 | 2 | 2 | 52 | 79 | 90 | 1.5 | 62 |
41 | util | https://github.com/kivy/kivy | [] | null | [] | [] | null | null | null | kivy/kivy | kivy | 16,614 | 3,096 | 606 | Python | https://kivy.org | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS | kivy | 2024-01-14 | 2010-11-03 | 690 | 24.048387 | https://avatars.githubusercontent.com/u/1266152?v=4 | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS | ['android', 'app', 'ios', 'kivy', 'linux', 'macos', 'ui', 'windows'] | ['android', 'app', 'ios', 'kivy', 'linux', 'macos', 'ui', 'windows'] | 2024-01-05 | [('beeware/toga', 0.692936360836029, 'gui', 0), ('r0x0r/pywebview', 0.6854493618011475, 'gui', 2), ('willmcgugan/textual', 0.632539689540863, 'term', 0), ('hoffstadt/dearpygui', 0.6317042112350464, 'gui', 4), ('flet-dev/flet', 0.6066066026687622, 'web', 2), ('pysimplegui/pysimplegui', 0.600288450717926, 'gui', 0), ('al... | 604 | 6 | null | 3.19 | 827 | 437 | 161 | 1 | 3 | 4 | 3 | 827 | 1,087 | 90 | 1.3 | 62 |
314 | gui | https://github.com/hoffstadt/dearpygui | [] | null | [] | [] | null | null | null | hoffstadt/dearpygui | DearPyGui | 11,691 | 639 | 150 | C++ | https://dearpygui.readthedocs.io/en/latest/ | Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies | hoffstadt | 2024-01-14 | 2020-05-28 | 191 | 60.981371 | null | Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies | ['cpp', 'cross-platform', 'dearpygui', 'graphics', 'gui', 'imgui', 'linux', 'macos', 'native', 'python-gui', 'toolkit', 'tools', 'ui', 'windows'] | ['cpp', 'cross-platform', 'dearpygui', 'graphics', 'gui', 'imgui', 'linux', 'macos', 'native', 'python-gui', 'toolkit', 'tools', 'ui', 'windows'] | 2024-01-11 | [('beeware/toga', 0.7974780201911926, 'gui', 2), ('parthjadhav/tkinter-designer', 0.6940200924873352, 'gui', 1), ('pysimplegui/pysimplegui', 0.6711195111274719, 'gui', 2), ('pypy/pypy', 0.6707800030708313, 'util', 0), ('urwid/urwid', 0.6700049042701721, 'term', 0), ('r0x0r/pywebview', 0.6651965379714966, 'gui', 3), ('p... | 65 | 3 | null | 1.02 | 88 | 48 | 44 | 0 | 3 | 7 | 3 | 88 | 139 | 90 | 1.6 | 62 |
989 | finance | https://github.com/ranaroussi/yfinance | [] | null | [] | ['yfinance'] | 1 | null | null | ranaroussi/yfinance | yfinance | 11,035 | 2,104 | 235 | Python | https://aroussi.com/post/python-yahoo-finance | Download market data from Yahoo! Finance's API | ranaroussi | 2024-01-14 | 2017-05-21 | 349 | 31.593047 | null | Download market data from Yahoo! Finance's API | ['financial-data', 'fix-yahoo-finance', 'market-data', 'pandas', 'stock-data', 'yahoo-finance', 'yahoo-finance-api'] | ['financial-data', 'fix-yahoo-finance', 'market-data', 'pandas', 'stock-data', 'yahoo-finance', 'yahoo-finance-api'] | 2024-01-11 | [('cuemacro/findatapy', 0.6290664672851562, 'finance', 1), ('pydata/pandas-datareader', 0.6126816868782043, 'pandas', 3), ('hydrosquall/tiingo-python', 0.5750361084938049, 'finance', 0), ('matplotlib/mplfinance', 0.5448886156082153, 'finance', 1), ('mega-barrel/yfin-etl', 0.535876452922821, 'finance', 1), ('stefmolin/s... | 102 | 1 | null | 4.56 | 142 | 94 | 81 | 0 | 37 | 13 | 37 | 142 | 547 | 90 | 3.9 | 62 |
639 | util | https://github.com/pyinstaller/pyinstaller | [] | null | [] | [] | null | null | null | pyinstaller/pyinstaller | pyinstaller | 10,966 | 1,970 | 232 | Python | http://www.pyinstaller.org | Freeze (package) Python programs into stand-alone executables | pyinstaller | 2024-01-14 | 2011-11-23 | 635 | 17.246012 | https://avatars.githubusercontent.com/u/1215332?v=4 | Freeze (package) Python programs into stand-alone executables | ['bundle', 'package', 'py2app', 'py2exe', 'pyinstaller', 'python-to-exe'] | ['bundle', 'package', 'py2app', 'py2exe', 'pyinstaller', 'python-to-exe'] | 2024-01-13 | [('beeware/briefcase', 0.6962027549743652, 'util', 3), ('ofek/pyapp', 0.5914837121963501, 'util', 1), ('indygreg/pyoxidizer', 0.5304632782936096, 'util', 0), ('pyodide/micropip', 0.5264869332313538, 'util', 0), ('pypa/pipx', 0.5007230639457703, 'util', 0)] | 461 | 4 | null | 8.67 | 312 | 280 | 148 | 0 | 13 | 6 | 13 | 312 | 563 | 90 | 1.8 | 62 |
1,776 | ml | https://github.com/neonbjb/tortoise-tts | ['text-to-speech', 'voice'] | null | [] | [] | null | null | null | neonbjb/tortoise-tts | tortoise-tts | 10,615 | 1,544 | 159 | Jupyter Notebook | null | A multi-voice TTS system trained with an emphasis on quality | neonbjb | 2024-01-14 | 2022-01-28 | 104 | 101.509563 | null | A multi-voice TTS system trained with an emphasis on quality | [] | ['text-to-speech', 'voice'] | 2023-11-22 | [('plachtaa/vall-e-x', 0.6283189058303833, 'llm', 1), ('myshell-ai/openvoice', 0.57065349817276, 'nlp', 1), ('m-bain/whisperx', 0.5033969283103943, 'nlp', 0)] | 34 | 4 | null | 1.75 | 118 | 42 | 24 | 2 | 0 | 2 | 2 | 118 | 151 | 90 | 1.3 | 62 |
1,334 | ml | https://github.com/facebookresearch/animateddrawings | ['animation'] | null | [] | [] | null | null | null | facebookresearch/animateddrawings | AnimatedDrawings | 9,893 | 837 | 84 | Python | null | Code to accompany "A Method for Animating Children's Drawings of the Human Figure" | facebookresearch | 2024-01-14 | 2022-11-30 | 60 | 162.561033 | https://avatars.githubusercontent.com/u/16943930?v=4 | Code to accompany "A Method for Animating Children's Drawings of the Human Figure" | [] | ['animation'] | 2023-12-10 | [] | 14 | 2 | null | 1.56 | 35 | 24 | 14 | 1 | 1 | 1 | 1 | 35 | 55 | 90 | 1.6 | 62 |
126 | perf | https://github.com/modin-project/modin | [] | null | [] | [] | 1 | null | null | modin-project/modin | modin | 9,219 | 631 | 116 | Python | http://modin.readthedocs.io | Modin: Scale your Pandas workflows by changing a single line of code | modin-project | 2024-01-14 | 2018-06-21 | 292 | 31.494876 | https://avatars.githubusercontent.com/u/40475955?v=4 | Modin: Scale your Pandas workflows by changing a single line of code | ['analytics', 'data-science', 'dataframe', 'datascience', 'distributed', 'modin', 'pandas', 'sql'] | ['analytics', 'data-science', 'dataframe', 'datascience', 'distributed', 'modin', 'pandas', 'sql'] | 2024-01-13 | [('jmcarpenter2/swifter', 0.6068665385246277, 'pandas', 2), ('nalepae/pandarallel', 0.6011874675750732, 'pandas', 1), ('lux-org/lux', 0.5601602792739868, 'viz', 2), ('ydataai/ydata-profiling', 0.5375041365623474, 'pandas', 2), ('kestra-io/kestra', 0.5311633348464966, 'ml-ops', 0), ('hi-primus/optimus', 0.52568501234054... | 124 | 3 | null | 10.35 | 332 | 274 | 68 | 0 | 19 | 15 | 19 | 331 | 319 | 90 | 1 | 62 |
438 | ml-dl | https://github.com/kornia/kornia | [] | null | [] | [] | null | null | null | kornia/kornia | kornia | 9,004 | 916 | 127 | Python | https://kornia.readthedocs.io | Geometric Computer Vision Library for SpatialAI | kornia | 2024-01-14 | 2018-08-22 | 283 | 31.720181 | https://avatars.githubusercontent.com/u/56968752?v=4 | Geometric Computer Vision Library for SpatialAI | ['artificial-intelligence', 'computer-vision', 'deep-learning', 'image-processing', 'machine-learning', 'neural-network', 'pytorch', 'robotics', 'spatial-ai'] | ['artificial-intelligence', 'computer-vision', 'deep-learning', 'image-processing', 'machine-learning', 'neural-network', 'pytorch', 'robotics', 'spatial-ai'] | 2024-01-13 | [('deci-ai/super-gradients', 0.6162040829658508, 'ml-dl', 4), ('isl-org/open3d', 0.6128343939781189, 'sim', 2), ('pyg-team/pytorch_geometric', 0.5945971012115479, 'ml-dl', 2), ('roboflow/supervision', 0.5887291431427002, 'ml', 5), ('microsoft/torchgeo', 0.5526466369628906, 'gis', 3), ('pytorch/rl', 0.5435752272605896, ... | 245 | 6 | null | 6.13 | 143 | 95 | 66 | 0 | 5 | 8 | 5 | 144 | 110 | 90 | 0.8 | 62 |
129 | viz | https://github.com/altair-viz/altair | ['visualization'] | null | [] | [] | null | null | null | altair-viz/altair | altair | 8,655 | 785 | 141 | Python | https://altair-viz.github.io/ | Declarative statistical visualization library for Python | altair-viz | 2024-01-13 | 2015-09-19 | 436 | 19.831424 | https://avatars.githubusercontent.com/u/22396732?v=4 | Declarative statistical visualization library for Python | [] | ['visualization'] | 2024-01-09 | [('mwaskom/seaborn', 0.8215170502662659, 'viz', 0), ('enthought/mayavi', 0.7132139801979065, 'viz', 1), ('holoviz/holoviz', 0.7110622525215149, 'viz', 0), ('has2k1/plotnine', 0.6832043528556824, 'viz', 0), ('residentmario/geoplot', 0.6802260875701904, 'gis', 0), ('alexmojaki/heartrate', 0.6655700206756592, 'debug', 1),... | 160 | 7 | null | 4.88 | 115 | 90 | 101 | 0 | 8 | 4 | 8 | 115 | 302 | 90 | 2.6 | 62 |
172 | ml-dl | https://github.com/facebookresearch/pytorch3d | [] | null | [] | [] | null | null | null | facebookresearch/pytorch3d | pytorch3d | 7,977 | 1,236 | 146 | Python | https://pytorch3d.org/ | PyTorch3D is FAIR's library of reusable components for deep learning with 3D data | facebookresearch | 2024-01-14 | 2019-10-25 | 222 | 35.84018 | https://avatars.githubusercontent.com/u/16943930?v=4 | PyTorch3D is FAIR's library of reusable components for deep learning with 3D data | [] | [] | 2024-01-04 | [('isl-org/open3d', 0.634926438331604, 'sim', 0), ('pytorch/ignite', 0.6142131686210632, 'ml-dl', 0), ('nicolas-chaulet/torch-points3d', 0.6138631701469421, 'ml', 0), ('intel/intel-extension-for-pytorch', 0.5983558893203735, 'perf', 0), ('mrdbourke/pytorch-deep-learning', 0.5950154066085815, 'study', 0), ('pyg-team/pyt... | 133 | 5 | null | 2.08 | 95 | 66 | 51 | 0 | 3 | 4 | 3 | 95 | 215 | 90 | 2.3 | 62 |
548 | ml | https://github.com/open-mmlab/mmsegmentation | [] | null | [] | [] | null | null | null | open-mmlab/mmsegmentation | mmsegmentation | 6,943 | 2,405 | 54 | Python | https://mmsegmentation.readthedocs.io/en/latest/ | OpenMMLab Semantic Segmentation Toolbox and Benchmark. | open-mmlab | 2024-01-14 | 2020-06-14 | 189 | 36.68 | https://avatars.githubusercontent.com/u/10245193?v=4 | OpenMMLab Semantic Segmentation Toolbox and Benchmark. | ['deeplabv3', 'image-segmentation', 'medical-image-segmentation', 'pspnet', 'pytorch', 'realtime-segmentation', 'retinal-vessel-segmentation', 'semantic-segmentation', 'swin-transformer', 'transformer', 'vessel-segmentation'] | ['deeplabv3', 'image-segmentation', 'medical-image-segmentation', 'pspnet', 'pytorch', 'realtime-segmentation', 'retinal-vessel-segmentation', 'semantic-segmentation', 'swin-transformer', 'transformer', 'vessel-segmentation'] | 2023-12-14 | [('open-mmlab/mmdetection', 0.7892122864723206, 'ml', 3), ('open-mmlab/mmcv', 0.6504673361778259, 'ml', 0), ('roboflow/supervision', 0.6128215193748474, 'ml', 1), ('nvlabs/gcvit', 0.5941908359527588, 'diffusion', 1), ('deci-ai/super-gradients', 0.5933340787887573, 'ml-dl', 2), ('google-research/deeplab2', 0.58159130811... | 165 | 6 | null | 3.88 | 189 | 57 | 44 | 1 | 10 | 13 | 10 | 188 | 207 | 90 | 1.1 | 62 |
3 | ml | https://github.com/awslabs/autogluon | [] | null | [] | [] | null | null | null | awslabs/autogluon | autogluon | 6,696 | 816 | 100 | Python | https://auto.gluon.ai/ | AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data | awslabs | 2024-01-14 | 2019-07-29 | 235 | 28.476306 | https://avatars.githubusercontent.com/u/92389699?v=4 | AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data | ['autogluon', 'automated-machine-learning', 'automl', 'computer-vision', 'data-science', 'deep-learning', 'ensemble-learning', 'forecasting', 'gluon', 'hyperparameter-optimization', 'image-classification', 'machine-learning', 'natural-language-processing', 'object-detection', 'pytorch', 'scikit-learn', 'structured-data... | ['autogluon', 'automated-machine-learning', 'automl', 'computer-vision', 'data-science', 'deep-learning', 'ensemble-learning', 'forecasting', 'gluon', 'hyperparameter-optimization', 'image-classification', 'machine-learning', 'natural-language-processing', 'object-detection', 'pytorch', 'scikit-learn', 'structured-data... | 2024-01-08 | [('mljar/mljar-supervised', 0.7640585899353027, 'ml', 6), ('keras-team/autokeras', 0.7593497633934021, 'ml-dl', 4), ('winedarksea/autots', 0.7558371424674988, 'time-series', 5), ('microsoft/flaml', 0.7324180603027344, 'ml', 9), ('microsoft/nni', 0.7000966668128967, 'ml', 7), ('automl/auto-sklearn', 0.672629177570343, '... | 114 | 5 | null | 11.42 | 414 | 252 | 54 | 0 | 5 | 7 | 5 | 413 | 511 | 90 | 1.2 | 62 |
1,883 | llm | https://github.com/apple/ml-ferret | ['ferret', 'mllm'] | Ferret: Refer and Ground Anything Anywhere at Any Granularity | [] | [] | null | null | null | apple/ml-ferret | ml-ferret | 6,445 | 331 | 111 | Python | null | null | apple | 2024-01-14 | 2023-10-06 | 16 | 388.922414 | https://avatars.githubusercontent.com/u/10639145?v=4 | Ferret: Refer and Ground Anything Anywhere at Any Granularity | [] | ['ferret', 'mllm'] | 2023-12-15 | [] | 1 | 1 | null | 0.06 | 8 | 1 | 3 | 1 | 0 | 0 | 0 | 8 | 27 | 90 | 3.4 | 62 |
1,806 | llm | https://github.com/mit-han-lab/streaming-llm | ['attention', 'long-dialogue'] | null | [] | [] | null | null | null | mit-han-lab/streaming-llm | streaming-llm | 5,807 | 335 | 61 | Python | https://arxiv.org/abs/2309.17453 | Efficient Streaming Language Models with Attention Sinks | mit-han-lab | 2024-01-14 | 2023-09-29 | 17 | 330.479675 | https://avatars.githubusercontent.com/u/39571499?v=4 | Efficient Streaming Language Models with Attention Sinks | [] | ['attention', 'long-dialogue'] | 2023-10-25 | [('freedomintelligence/llmzoo', 0.5750225782394409, 'llm', 0), ('juncongmoo/pyllama', 0.5574493408203125, 'llm', 0), ('bytedance/lightseq', 0.5517858862876892, 'nlp', 0), ('srush/minichain', 0.5470554232597351, 'llm', 0), ('thudm/chatglm-6b', 0.5384843945503235, 'llm', 0), ('eleutherai/lm-evaluation-harness', 0.5352895... | 5 | 3 | null | 0.48 | 41 | 16 | 4 | 3 | 0 | 0 | 0 | 41 | 49 | 90 | 1.2 | 62 |
538 | util | https://github.com/mamba-org/mamba | ['package-manager', 'packaging'] | null | [] | [] | null | null | null | mamba-org/mamba | mamba | 5,690 | 322 | 45 | C++ | https://mamba.readthedocs.io | The Fast Cross-Platform Package Manager | mamba-org | 2024-01-13 | 2019-03-05 | 256 | 22.226563 | https://avatars.githubusercontent.com/u/66118895?v=4 | The Fast Cross-Platform Package Manager | ['conda', 'cpp', 'package-manager'] | ['conda', 'cpp', 'package-manager', 'packaging'] | 2024-01-11 | [('conda/conda', 0.752036988735199, 'util', 3), ('mamba-org/boa', 0.7310133576393127, 'util', 1), ('mamba-org/quetz', 0.699140191078186, 'util', 1), ('indygreg/pyoxidizer', 0.6980676651000977, 'util', 2), ('conda/conda-build', 0.6777679920196533, 'util', 1), ('spack/spack', 0.6774295568466187, 'util', 1), ('pomponchik/... | 146 | 5 | null | 8.25 | 287 | 195 | 59 | 0 | 21 | 61 | 21 | 285 | 513 | 90 | 1.8 | 62 |
1,878 | llm | https://github.com/microsoft/promptbase | ['prompt-engineering'] | promptbase is an evolving collection of resources, best practices, and example scripts for eliciting the best performance from foundation models. | [] | [] | null | null | null | microsoft/promptbase | promptbase | 4,433 | 302 | 51 | Python | null | All things prompt engineering | microsoft | 2024-01-14 | 2023-12-12 | 7 | 633.285714 | https://avatars.githubusercontent.com/u/6154722?v=4 | All things prompt engineering | [] | ['prompt-engineering'] | 2024-01-13 | [('hazyresearch/ama_prompting', 0.7119161486625671, 'llm', 1), ('keirp/automatic_prompt_engineer', 0.6507399082183838, 'llm', 1), ('hazyresearch/manifest', 0.629546046257019, 'llm', 1), ('promptslab/awesome-prompt-engineering', 0.56931471824646, 'study', 1), ('promptslab/promptify', 0.5429252982139587, 'nlp', 1)] | 6 | 2 | null | 0.69 | 34 | 25 | 1 | 0 | 0 | 0 | 0 | 34 | 14 | 90 | 0.4 | 62 |
1,899 | data | https://github.com/superduperdb/superduperdb | [] | null | [] | [] | null | null | null | superduperdb/superduperdb | superduperdb | 3,863 | 500 | 34 | Python | https://superduperdb.com | 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search. | superduperdb | 2024-01-17 | 2022-08-30 | 74 | 52.202703 | https://avatars.githubusercontent.com/u/120034956?v=4 | 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search. | ['ai', 'chatbot', 'data', 'database', 'distributed-ml', 'inference', 'llm-inference', 'llm-serving', 'llmops', 'ml', 'mlops', 'mongodb', 'pretrained-models', 'pytorch', 'semantic-search', 'sklearn', 'torch', 'transformers', 'vector-search'] | ['ai', 'chatbot', 'data', 'database', 'distributed-ml', 'inference', 'llm-inference', 'llm-serving', 'llmops', 'ml', 'mlops', 'mongodb', 'pretrained-models', 'pytorch', 'semantic-search', 'sklearn', 'torch', 'transformers', 'vector-search'] | 2024-01-16 | [('activeloopai/deeplake', 0.7059310674667358, 'ml-ops', 5), ('mindsdb/mindsdb', 0.6333754658699036, 'data', 6), ('featureform/embeddinghub', 0.6010522246360779, 'nlp', 2), ('lancedb/lancedb', 0.6009349226951599, 'data', 1), ('pathwaycom/llm-app', 0.595395028591156, 'llm', 2), ('mosaicml/composer', 0.5755331516265869, ... | 37 | 1 | null | 25.54 | 712 | 579 | 17 | 0 | 18 | 14 | 18 | 712 | 558 | 90 | 0.8 | 62 |
1,407 | llm | https://github.com/luodian/otter | ['multi-modality'] | null | [] | [] | null | null | null | luodian/otter | Otter | 3,311 | 276 | 101 | Python | https://otter-ntu.github.io/ | 🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability. | luodian | 2024-01-13 | 2023-04-01 | 43 | 76.240132 | null | 🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability. | ['apple-vision-pro', 'artificial-inteligence', 'chatgpt', 'deep-learning', 'egocentric-vision', 'embodied', 'embodied-ai', 'foundation-models', 'gpt-4', 'instruction-tuning', 'large-scale-models', 'machine-learning', 'multi-modality', 'visual-language-learning'] | ['apple-vision-pro', 'artificial-inteligence', 'chatgpt', 'deep-learning', 'egocentric-vision', 'embodied', 'embodied-ai', 'foundation-models', 'gpt-4', 'instruction-tuning', 'large-scale-models', 'machine-learning', 'multi-modality', 'visual-language-learning'] | 2023-12-30 | [('facebookresearch/habitat-lab', 0.5644159913063049, 'sim', 1), ('haotian-liu/llava', 0.5594356060028076, 'llm', 6), ('minedojo/voyager', 0.5513647794723511, 'llm', 0), ('nvlabs/prismer', 0.5447686314582825, 'diffusion', 0), ('open-mmlab/mmediting', 0.53682941198349, 'ml', 1), ('christoschristofidis/awesome-deep-learn... | 12 | 3 | null | 9.17 | 47 | 30 | 10 | 0 | 3 | 4 | 3 | 47 | 104 | 90 | 2.2 | 62 |
1,287 | llm | https://github.com/eth-sri/lmql | [] | null | [] | [] | null | null | null | eth-sri/lmql | lmql | 2,903 | 157 | 20 | Python | https://lmql.ai | A language for constraint-guided and efficient LLM programming. | eth-sri | 2024-01-14 | 2022-11-24 | 61 | 47.039352 | https://avatars.githubusercontent.com/u/5363413?v=4 | A language for constraint-guided and efficient LLM programming. | ['chatgpt', 'gpt-3', 'huggingface', 'language-model', 'programming-language'] | ['chatgpt', 'gpt-3', 'huggingface', 'language-model', 'programming-language'] | 2024-01-09 | [('guidance-ai/guidance', 0.6066431999206543, 'llm', 2), ('microsoft/autogen', 0.5932376384735107, 'llm', 1), ('bobazooba/xllm', 0.5887289047241211, 'llm', 1), ('next-gpt/next-gpt', 0.5689839124679565, 'llm', 1), ('hiyouga/llama-factory', 0.5669615268707275, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5669613480567... | 34 | 3 | null | 15.31 | 78 | 32 | 14 | 0 | 9 | 17 | 9 | 78 | 156 | 90 | 2 | 62 |
1,232 | llm | https://github.com/nvidia/nemo-guardrails | ['language-model', 'guardrails'] | null | [] | [] | null | null | null | nvidia/nemo-guardrails | NeMo-Guardrails | 2,823 | 228 | 31 | Python | null | NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. | nvidia | 2024-01-14 | 2023-04-18 | 41 | 68.853659 | https://avatars.githubusercontent.com/u/1728152?v=4 | NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. | [] | ['guardrails', 'language-model'] | 2024-01-12 | [('guardrails-ai/guardrails', 0.654189944267273, 'llm', 0), ('nomic-ai/gpt4all', 0.583074152469635, 'llm', 1), ('hwchase17/langchain', 0.5671313405036926, 'llm', 1), ('llm-tuning-safety/llms-finetuning-safety', 0.5286512970924377, 'llm', 0), ('tigerlab-ai/tiger', 0.527998149394989, 'llm', 0), ('nat/openplayground', 0.5... | 30 | 2 | null | 12.65 | 105 | 45 | 9 | 0 | 6 | 12 | 6 | 105 | 212 | 90 | 2 | 62 |
1,711 | llm | https://github.com/guardrails-ai/guardrails | [] | null | [] | [] | null | null | null | guardrails-ai/guardrails | guardrails | 2,693 | 179 | 23 | Python | https://docs.guardrailsai.com/ | Adding guardrails to large language models. | guardrails-ai | 2024-01-14 | 2023-01-29 | 52 | 51.505464 | https://avatars.githubusercontent.com/u/140440022?v=4 | Adding guardrails to large language models. | ['ai', 'foundation-model', 'gpt-3', 'llm', 'openai'] | ['ai', 'foundation-model', 'gpt-3', 'llm', 'openai'] | 2024-01-10 | [('nvidia/nemo-guardrails', 0.654189944267273, 'llm', 0), ('juncongmoo/pyllama', 0.6344968676567078, 'llm', 0), ('optimalscale/lmflow', 0.6163129210472107, 'llm', 0), ('llm-tuning-safety/llms-finetuning-safety', 0.6136285066604614, 'llm', 1), ('lianjiatech/belle', 0.6092329621315002, 'llm', 0), ('hannibal046/awesome-ll... | 36 | 3 | null | 11.83 | 202 | 167 | 12 | 0 | 23 | 41 | 23 | 202 | 211 | 90 | 1 | 62 |
1,750 | data | https://github.com/giskard-ai/giskard | [] | null | [] | [] | null | null | null | giskard-ai/giskard | giskard | 2,471 | 171 | 19 | Python | https://docs.giskard.ai | 🐢 The testing framework for ML models, from tabular to LLMs | giskard-ai | 2024-01-12 | 2022-03-06 | 99 | 24.88777 | https://avatars.githubusercontent.com/u/71782571?v=4 | 🐢 The testing framework for ML models, from tabular to LLMs | ['ai-safety', 'ai-testing', 'artificial-intelligence', 'cicd', 'ethical-artificial-intelligence', 'explainable-ai', 'fairness-ai', 'llmops', 'machine-learning', 'machine-learning-testing', 'ml-safety', 'ml-testing', 'ml-validation', 'mlops', 'model-testing', 'model-validation', 'quality-assurance', 'responsible-ai', 'r... | ['ai-safety', 'ai-testing', 'artificial-intelligence', 'cicd', 'ethical-artificial-intelligence', 'explainable-ai', 'fairness-ai', 'llmops', 'machine-learning', 'machine-learning-testing', 'ml-safety', 'ml-testing', 'ml-validation', 'mlops', 'model-testing', 'model-validation', 'quality-assurance', 'responsible-ai', 'r... | 2024-01-12 | [('arize-ai/phoenix', 0.6145030856132507, 'ml-interpretability', 2), ('confident-ai/deepeval', 0.5690423250198364, 'testing', 1), ('ludwig-ai/ludwig', 0.5647245049476624, 'ml-ops', 1), ('interpretml/interpret', 0.5559372305870056, 'ml-interpretability', 3), ('microsoft/lmops', 0.5501245260238647, 'llm', 0), ('deepcheck... | 40 | 4 | null | 95.15 | 437 | 411 | 23 | 0 | 36 | 27 | 36 | 437 | 627 | 90 | 1.4 | 62 |
1,721 | viz | https://github.com/mckinsey/vizro | [] | null | [] | [] | null | null | null | mckinsey/vizro | vizro | 2,136 | 91 | 14 | Python | https://vizro.readthedocs.io/en/stable/ | Vizro is a toolkit for creating modular data visualization applications. | mckinsey | 2024-01-14 | 2023-09-04 | 21 | 101.027027 | https://avatars.githubusercontent.com/u/4265350?v=4 | Vizro is a toolkit for creating modular data visualization applications. | ['dashboard', 'data-visualization', 'plotly', 'plotly-dash', 'pydantic', 'visualization'] | ['dashboard', 'data-visualization', 'plotly', 'plotly-dash', 'pydantic', 'visualization'] | 2024-01-11 | [('man-group/dtale', 0.584793746471405, 'viz', 3), ('holoviz/panel', 0.5707153081893921, 'viz', 1), ('visgl/deck.gl', 0.5679866671562195, 'viz', 2), ('pyvista/pyvista', 0.5597613453865051, 'viz', 1), ('gaogaotiantian/viztracer', 0.5495272874832153, 'profiling', 1), ('holoviz/holoviz', 0.5490374565124512, 'viz', 0), ('b... | 15 | 2 | null | 3.54 | 161 | 134 | 4 | 0 | 11 | 33 | 11 | 161 | 194 | 90 | 1.2 | 62 |
55 | ml-rl | https://github.com/openai/gym | ['reinforcement-learning'] | null | [] | [] | null | null | null | openai/gym | gym | 33,375 | 8,704 | 1,061 | Python | https://www.gymlibrary.dev | A toolkit for developing and comparing reinforcement learning algorithms. | openai | 2024-01-14 | 2016-04-27 | 404 | 82.436486 | https://avatars.githubusercontent.com/u/14957082?v=4 | A toolkit for developing and comparing reinforcement learning algorithms. | [] | ['reinforcement-learning'] | 2023-01-30 | [('shangtongzhang/reinforcement-learning-an-introduction', 0.6223573088645935, 'study', 1), ('deepmind/acme', 0.6127493381500244, 'ml-rl', 1), ('pytorch/rl', 0.5818626880645752, 'ml-rl', 1), ('thu-ml/tianshou', 0.5749742984771729, 'ml-rl', 0), ('facebookresearch/reagent', 0.573969841003418, 'ml-rl', 0), ('google/dopami... | 384 | 3 | null | 0.04 | 23 | 10 | 94 | 12 | 0 | 7 | 7 | 23 | 29 | 90 | 1.3 | 61 |
1,082 | security | https://github.com/sqlmapproject/sqlmap | [] | null | [] | [] | null | null | null | sqlmapproject/sqlmap | sqlmap | 29,583 | 5,602 | 1,090 | Python | http://sqlmap.org | Automatic SQL injection and database takeover tool | sqlmapproject | 2024-01-14 | 2012-06-26 | 605 | 48.897521 | https://avatars.githubusercontent.com/u/735289?v=4 | Automatic SQL injection and database takeover tool | ['database', 'detection', 'exploitation', 'pentesting', 'sql-injection', 'sqlmap', 'takeover', 'vulnerability-scanner'] | ['database', 'detection', 'exploitation', 'pentesting', 'sql-injection', 'sqlmap', 'takeover', 'vulnerability-scanner'] | 2024-01-11 | [('swisskyrepo/payloadsallthethings', 0.5263312458992004, 'security', 0)] | 133 | 3 | null | 2.38 | 73 | 64 | 141 | 0 | 1 | 9 | 1 | 73 | 84 | 90 | 1.2 | 61 |
467 | util | https://github.com/alievk/avatarify-python | [] | null | [] | [] | null | null | null | alievk/avatarify-python | avatarify-python | 15,989 | 3,217 | 317 | Python | null | Avatars for Zoom, Skype and other video-conferencing apps. | alievk | 2024-01-13 | 2020-04-06 | 199 | 80.289096 | null | Avatars for Zoom, Skype and other video-conferencing apps. | [] | [] | 2023-09-29 | [] | 24 | 5 | null | 0.08 | 54 | 14 | 46 | 4 | 0 | 1 | 1 | 54 | 165 | 90 | 3.1 | 61 |
331 | ml-rl | https://github.com/unity-technologies/ml-agents | [] | null | [] | [] | null | null | null | unity-technologies/ml-agents | ml-agents | 15,866 | 4,039 | 551 | C# | https://unity.com/products/machine-learning-agents | The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. | unity-technologies | 2024-01-14 | 2017-09-08 | 333 | 47.564026 | https://avatars.githubusercontent.com/u/426196?v=4 | The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. | ['deep-learning', 'deep-reinforcement-learning', 'machine-learning', 'neural-networks', 'reinforcement-learning', 'unity', 'unity3d'] | ['deep-learning', 'deep-reinforcement-learning', 'machine-learning', 'neural-networks', 'reinforcement-learning', 'unity', 'unity3d'] | 2023-12-02 | [('facebookresearch/habitat-lab', 0.6679417490959167, 'sim', 3), ('salesforce/warp-drive', 0.6577045321464539, 'ml-rl', 2), ('google/dopamine', 0.6415248513221741, 'ml-rl', 0), ('tensorflow/tensor2tensor', 0.6379924416542053, 'ml', 3), ('inspirai/timechamber', 0.6286770105361938, 'sim', 2), ('keras-rl/keras-rl', 0.6218... | 161 | 5 | null | 0.81 | 68 | 49 | 77 | 1 | 1 | 22 | 1 | 68 | 154 | 90 | 2.3 | 61 |
550 | ml-ops | https://github.com/horovod/horovod | [] | null | [] | ['horovod'] | null | null | null | horovod/horovod | horovod | 13,750 | 2,227 | 331 | Python | http://horovod.ai | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | horovod | 2024-01-13 | 2017-08-09 | 337 | 40.697674 | https://avatars.githubusercontent.com/u/46361271?v=4 | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | ['baidu', 'deep-learning', 'deeplearning', 'keras', 'machine-learning', 'machinelearning', 'mpi', 'mxnet', 'pytorch', 'ray', 'spark', 'tensorflow', 'uber'] | ['baidu', 'deep-learning', 'deeplearning', 'keras', 'machine-learning', 'machinelearning', 'mpi', 'mxnet', 'pytorch', 'ray', 'spark', 'tensorflow', 'uber'] | 2024-01-05 | [('paddlepaddle/paddle', 0.7518745064735413, 'ml-dl', 2), ('tensorflow/tensorflow', 0.7118455767631531, 'ml-dl', 3), ('determined-ai/determined', 0.6985735297203064, 'ml-ops', 5), ('microsoft/deepspeed', 0.6651274561882019, 'ml-dl', 3), ('alpa-projects/alpa', 0.6610665321350098, 'ml-dl', 2), ('microsoft/onnxruntime', 0... | 172 | 5 | null | 0.94 | 48 | 20 | 78 | 0 | 3 | 12 | 3 | 48 | 64 | 90 | 1.3 | 61 |
1,021 | finance | https://github.com/microsoft/qlib | [] | null | [] | [] | 1 | null | null | microsoft/qlib | qlib | 13,247 | 2,302 | 275 | Python | https://qlib.readthedocs.io/en/latest/ | Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, mar... | microsoft | 2024-01-14 | 2020-08-14 | 180 | 73.361551 | https://avatars.githubusercontent.com/u/6154722?v=4 | Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, mar... | ['algorithmic-trading', 'auto-quant', 'deep-learning', 'finance', 'fintech', 'investment', 'machine-learning', 'paper', 'platform', 'quant', 'quant-dataset', 'quant-models', 'quantitative-finance', 'quantitative-trading', 'research', 'research-paper', 'stock-data'] | ['algorithmic-trading', 'auto-quant', 'deep-learning', 'finance', 'fintech', 'investment', 'machine-learning', 'paper', 'platform', 'quant', 'quant-dataset', 'quant-models', 'quantitative-finance', 'quantitative-trading', 'research', 'research-paper', 'stock-data'] | 2023-11-21 | [('ai4finance-foundation/finrl', 0.5603201389312744, 'finance', 3), ('zvtvz/zvt', 0.5502883791923523, 'finance', 6), ('goldmansachs/gs-quant', 0.5478851199150085, 'finance', 0), ('google/tf-quant-finance', 0.5447477698326111, 'finance', 2), ('chancefocus/pixiu', 0.5296194553375244, 'finance', 2), ('quantconnect/lean', ... | 122 | 3 | null | 1.12 | 178 | 118 | 42 | 2 | 3 | 6 | 3 | 178 | 107 | 90 | 0.6 | 61 |
849 | viz | https://github.com/visgl/deck.gl | [] | null | [] | [] | null | null | null | visgl/deck.gl | deck.gl | 11,453 | 2,061 | 1,693 | TypeScript | https://deck.gl | WebGL2 powered visualization framework | visgl | 2024-01-13 | 2015-12-15 | 424 | 27.011792 | https://avatars.githubusercontent.com/u/46735142?v=4 | WebGL2 powered visualization framework | ['data-visualization', 'geospatial-analysis', 'javascript', 'maps', 'visualization', 'webgl'] | ['data-visualization', 'geospatial-analysis', 'javascript', 'maps', 'visualization', 'webgl'] | 2024-01-12 | [('nomic-ai/deepscatter', 0.6989966630935669, 'viz', 3), ('giswqs/geemap', 0.6095970869064331, 'gis', 0), ('raphaelquast/eomaps', 0.6003251075744629, 'gis', 1), ('bokeh/bokeh', 0.5892252326011658, 'viz', 2), ('residentmario/geoplot', 0.5753275156021118, 'gis', 0), ('mckinsey/vizro', 0.5679866671562195, 'viz', 2), ('vis... | 243 | 3 | null | 6.06 | 207 | 137 | 98 | 0 | 57 | 72 | 57 | 207 | 193 | 90 | 0.9 | 61 |
411 | util | https://github.com/pre-commit/pre-commit | ['code-quality'] | null | [] | [] | null | null | null | pre-commit/pre-commit | pre-commit | 11,446 | 788 | 86 | Python | https://pre-commit.com | A framework for managing and maintaining multi-language pre-commit hooks. | pre-commit | 2024-01-14 | 2014-03-13 | 515 | 22.19446 | https://avatars.githubusercontent.com/u/6943086?v=4 | A framework for managing and maintaining multi-language pre-commit hooks. | ['git', 'linter', 'pre-commit', 'refactoring'] | ['code-quality', 'git', 'linter', 'pre-commit', 'refactoring'] | 2024-01-12 | [('asottile/pyupgrade', 0.6998698115348816, 'util', 3), ('psf/black', 0.5649186968803406, 'util', 1), ('thudm/codegeex', 0.5082143545150757, 'llm', 0)] | 156 | 4 | null | 2.46 | 105 | 97 | 120 | 0 | 17 | 19 | 17 | 105 | 234 | 90 | 2.2 | 61 |
1,250 | util | https://github.com/openai/triton | [] | null | [] | [] | null | null | null | openai/triton | triton | 9,513 | 1,050 | 171 | C++ | https://triton-lang.org/ | Development repository for the Triton language and compiler | openai | 2024-01-14 | 2014-08-30 | 491 | 19.357849 | https://avatars.githubusercontent.com/u/14957082?v=4 | Development repository for the Triton language and compiler | [] | [] | 2024-01-12 | [('scikit-build/scikit-build', 0.5731392502784729, 'ml', 0), ('python/cpython', 0.5405258536338806, 'util', 0), ('pytorch/glow', 0.5112419724464417, 'ml', 0), ('cython/cython', 0.502590537071228, 'util', 0), ('pypy/pypy', 0.500663697719574, 'util', 0)] | 202 | 6 | null | 18.96 | 516 | 379 | 114 | 0 | 0 | 1 | 1 | 517 | 1,005 | 90 | 1.9 | 61 |
243 | util | https://github.com/aws/serverless-application-model | [] | null | [] | [] | null | null | null | aws/serverless-application-model | serverless-application-model | 9,181 | 2,406 | 289 | Python | https://aws.amazon.com/serverless/sam | The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates. | aws | 2024-01-12 | 2016-10-10 | 381 | 24.088081 | https://avatars.githubusercontent.com/u/2232217?v=4 | The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates. | ['aws', 'aws-sam', 'lambda', 'sam', 'sam-specification', 'serverless', 'serverless-application-model', 'serverless-applications'] | ['aws', 'aws-sam', 'lambda', 'sam', 'sam-specification', 'serverless', 'serverless-application-model', 'serverless-applications'] | 2024-01-10 | [('nficano/python-lambda', 0.5357404947280884, 'util', 2), ('aws/chalice', 0.5237606167793274, 'web', 3)] | 268 | 4 | null | 8.02 | 155 | 144 | 88 | 0 | 28 | 13 | 28 | 154 | 173 | 90 | 1.1 | 61 |
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